CN114550866A - Data processing apparatus and system - Google Patents
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Abstract
The present disclosure provides a data processing apparatus and system, the apparatus including: an artificial intelligence chip and an interface module; the interface module is used for receiving medical detection data transmitted in real time and sending the medical detection data to the artificial intelligent chip; the artificial intelligence chip is used for identifying the medical detection data by using an integrated medical artificial intelligence algorithm to obtain a medical auxiliary result corresponding to the medical detection data.
Description
Technical Field
The present disclosure relates to the field of artificial intelligence technology, and in particular, to a data processing device and system.
Background
In the field of medical assistance, there is a real-time medical application scenario, where the real-time medical application scenario is a scenario in which a detection result is obtained by performing real-time detection and real-time judgment and analysis according to a detection image, that is, a medical staff needs to perform detection on a user and perform judgment and analysis on the detected image to obtain a medical assistance result, and the real-time medical application scenario includes, for example, an ultrasound examination scenario, an endoscope examination scenario, and the like. In the real-time medical application scene, the operation method and the prior knowledge of the detection personnel are required to be higher, and if the operation is not standard or the prior knowledge is insufficient, the potential risk of misdiagnosis or missed diagnosis caused by focus can be missed.
Generally, the artificial intelligence algorithm has the characteristics of high efficiency and high accuracy, so that the AI algorithm can be applied to the field of medical assistance to assist the detection and diagnosis behaviors of detection personnel.
Disclosure of Invention
In view of the above, the present disclosure provides at least a data processing apparatus and system.
In a first aspect, the present disclosure provides a data processing apparatus comprising: an Artificial Intelligence (AI) chip and an interface module;
the interface module is used for receiving medical detection data transmitted in real time and sending the medical detection data to the artificial intelligent chip;
the artificial intelligence chip is used for identifying the medical detection data by using an integrated medical artificial intelligence algorithm to obtain a medical auxiliary result corresponding to the medical detection data.
The data processing device comprises an artificial intelligence chip and an interface module, wherein the interface module is used for receiving medical detection data transmitted in real time and rapidly transmitting the medical detection data to the artificial intelligence chip; this artificial intelligence chip is through utilizing integrated medical treatment AI algorithm, comparatively quick and comparatively accurate discerns medical treatment detection data, obtains the medical treatment auxiliary result that medical treatment detection data corresponds, when the real-time requirement of medical treatment detection data is higher, can comparatively quick obtain this medical treatment detection data's medical treatment auxiliary result, has improved the recognition efficiency of medical treatment auxiliary structure.
Meanwhile, the medical detection data transmitted in real time can be received and identified in the embodiment of the disclosure, so that the device can be applied to a medical detection scene for real-time detection and real-time judgment and analysis, such as an endoscope detection scene; the medical detection data detected in real time are analyzed and identified in real time, and medical auxiliary results are generated in real time, so that the real-time requirement under the medical detection scene is met.
In one possible embodiment, the data processing device is a computing stick structure, the data processing device comprises a shell and a main body, the shell is used for wrapping the main body, and the artificial intelligence chip and the interface module are integrated on the main body.
Here, the data processing device is a computing stick structure, the data processing device includes a housing and a main body, the housing is used for wrapping the main body, and the artificial intelligence chip and the interface module are integrated on the main body. The data processing equipment is designed into a computing rod structure, so that the data processing equipment is small in size, convenient to move and improved in flexibility. Meanwhile, after the data processing equipment is connected with the frequently-moving medical detection equipment, the detection efficiency of the medical detection equipment cannot be influenced on the basis of realizing real-time identification of medical detection data detected by the medical detection equipment, and the data processing equipment is widely applied.
In one possible embodiment, the interface module comprises at least one signal interface, the signal interface comprising one or more of: universal serial bus interface, digital video interface, high-definition multimedia interface, and digital serial interface.
The interface module is provided with at least one signal interface, the signal interfaces are various, so that the data processing equipment can receive medical detection data transmitted by various types of medical detection equipment in real time, the application range of the data processing equipment is wide, and the data processing equipment is flexible to use.
In one possible embodiment, the medical artificial intelligence algorithm comprises: the medical treatment system comprises at least one of a first medical artificial intelligence algorithm for detecting first medical detection data detected by ultrasonic medical equipment, a second medical artificial intelligence algorithm for detecting second medical detection data detected by endoscopic medical equipment, a third medical artificial intelligence algorithm for detecting third medical detection data detected by radiological medical equipment and a fourth medical artificial intelligence algorithm for detecting fourth medical detection data detected by ophthalmic medical equipment.
By integrating at least one of a first medical artificial intelligence algorithm, a second medical artificial intelligence algorithm, a third medical artificial intelligence algorithm and a fourth medical artificial intelligence algorithm on the artificial intelligence chip, the type of the medical artificial intelligence algorithm integrated by the data processing equipment is flexible, medical detection data detected by different medical detection equipment can be identified, the identification flexibility is improved, and the equipment is widely applied.
In a possible embodiment, the artificial intelligence chip further integrates at least one decoding algorithm thereon, and the artificial intelligence chip is further configured to: before the medical detection data are identified, decoding the medical detection data based on a decoding algorithm matched with the data format of the medical detection data to generate the medical detection data identifiable by the medical artificial intelligence algorithm.
Here, before the medical examination data is identified, the medical examination data may be decoded by using a decoding algorithm matching the data format of the medical examination data to generate medical examination data recognizable by the medical AI algorithm, so that the recognizable medical examination data can be identified by the subsequent medical AI algorithm.
In a possible embodiment, the apparatus further comprises: the network communication module is connected with the artificial intelligence chip;
the network communication module is used for transmitting the medical detection data and/or the medical auxiliary result to a remote processing device.
Here, the data processing device may further include a network communication module, and the network communication module is used to transmit the medical detection data and/or the medical assistance result to the remote processing device, so as to realize remote transmission of the medical detection data and/or the medical assistance result, thereby improving flexibility of the medical detection data and/or the medical assistance result.
In a possible implementation manner, the apparatus further includes a first display module, and the first display module is connected to the interface module;
the interface module is used for transmitting the medical auxiliary result to the first display module;
the first display module is used for displaying the received medical auxiliary result.
Here, the device may further include a first display module, the first display module is connected to the interface module, the interface module transmits the medical assistance result to the first display module, and the medical assistance result is displayed through the first display module, so that the detection person can have clear and definite knowledge of the medical assistance result.
In a possible implementation manner, the device further includes a second display module, the second display module is located on a housing of the device, and the second display module is connected to the artificial intelligence chip;
and the second display module is used for receiving and displaying the medical auxiliary result obtained by the artificial intelligence chip.
During implementation, a second display module can be arranged on the shell of the device, for example, the second display module can be a display screen, and the medical assistance result is received and displayed through the second display module, so that the display speed of the medical assistance result is increased.
The following description of the effects of the system and the like refers to the description of the above-mentioned devices, and is not repeated here.
In a second aspect, the present disclosure provides a data processing system comprising: a data processing device according to the first aspect or any embodiment, and at least one medical detection device; the data processing equipment is connected with each medical detection equipment;
the data processing device is used for acquiring medical detection data detected by each medical detection device, and identifying the medical detection data by using an integrated medical artificial intelligence algorithm to obtain a medical auxiliary result corresponding to the medical detection data.
In one possible embodiment, the medical examination device comprises at least one of an ultrasound medical device, an endoscopic medical device, a radiological medical device, and an ophthalmic medical device.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly described below, and the drawings herein incorporated in and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It is appreciated that the following drawings depict only certain embodiments of the disclosure and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.
Fig. 1 shows an architecture diagram of a data processing device provided by an embodiment of the present disclosure;
FIG. 2 is a schematic block diagram of another data processing apparatus provided in the embodiments of the present disclosure;
fig. 3 shows an architecture diagram of a data processing system provided by an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.
In the field of medical assistance, there is a real-time medical application scenario, where the real-time medical application scenario is a scenario in which a detection result is obtained by performing real-time detection and real-time judgment and analysis according to a detection image, that is, a medical staff needs to perform detection on a user and perform judgment and analysis on the detected image to obtain a medical assistance result, and the real-time medical application scenario includes, for example, an ultrasound examination scenario, an endoscope examination scenario, and the like. In the real-time medical application scene, the operation method and the prior knowledge of the detection personnel are required to be higher, and if the operation is not standard or the prior knowledge is insufficient, the potential risk of misdiagnosis or missed diagnosis caused by focus can be missed.
Because the artificial intelligence algorithm has the characteristics of high efficiency and high precision, the AI algorithm can be applied to the field of medical assistance so as to assist the detection and diagnosis behaviors of detection personnel. Therefore, it is important to provide a data processing device using AI algorithm as a processing algorithm applied to a real-time medical application scenario.
In general, an auxiliary detection server including a general purpose Graphics Processing Unit (GPU) may be applied to a real-time medical application scenario. The auxiliary detection server may be integrated with a specific AI algorithm. When the medical data identification method is implemented, the auxiliary detection server can be connected with the ultrasonic medical equipment or the endoscope medical equipment in a real-time medical application scene, and the AI algorithm integrated on the auxiliary detection server is utilized to perform auxiliary identification on the medical data detected by the ultrasonic medical equipment or the endoscope medical equipment. However, the ultrasonic medical equipment and the endoscopic medical equipment need to be moved frequently in a medical scene so as to detect the person to be detected on each bed. The auxiliary detection server is large in size, so that when the auxiliary detection server is applied to a real-time medical application scene, inconvenience is brought to the detection process of ultrasonic medical equipment or endoscope medical equipment, and the detection efficiency is reduced.
In order to alleviate the above problem, embodiments of the present disclosure provide a data processing apparatus and system.
The above-mentioned drawbacks are the results of the inventor after practical and careful study, and therefore, the discovery process of the above-mentioned problems and the solutions proposed by the present disclosure to the above-mentioned problems should be the contribution of the inventor in the process of the present disclosure.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
For the sake of understanding the embodiments of the present disclosure, a data processing apparatus disclosed in the embodiments of the present disclosure will be described in detail first.
Referring to fig. 1, a schematic architecture diagram of a data processing apparatus provided in an embodiment of the present disclosure includes: an artificial intelligence chip 101 and an interface module 102;
the interface module 102 is configured to receive medical detection data transmitted in real time and send the medical detection data to the AI chip;
the AI chip 101 is configured to identify the medical detection data by using an integrated medical AI algorithm, and obtain a medical assistance result corresponding to the medical detection data.
In practice, the AI chip may be any chip capable of executing an AI algorithm. The AI chip may interface with one or more external medical detection devices via an interface module. The medical detection equipment can comprise endoscope medical equipment for performing endoscope examination on a person to be detected, ultrasonic medical equipment for performing ultrasonic examination on the person to be detected and the like.
When the AI chip is connected with a medical detection device, the medical detection data detected by the medical detection device in real time can be acquired. Wherein the format of the medical test data is related to the type of medical test device. For example, the medical examination data may be DICOM-format data. And calling an integrated medical AI algorithm to identify the medical detection data to obtain a medical auxiliary result of the medical detection data. For example, the medical assistance result may be a result of whether or not an abnormality is present in the detected organ.
When the AI chip is connected with a plurality of medical detection devices, the medical detection data detected by the plurality of medical detection devices in real time can be respectively acquired. And parallelly calling the integrated medical AI algorithm to identify each medical detection data to obtain the medical auxiliary result of each medical detection data.
The data processing device comprises an AI chip and an interface module, wherein the interface module is used for receiving the medical detection data transmitted in real time and rapidly transmitting the medical detection data to the AI chip; this AI chip is through utilizing integrated medical treatment AI algorithm, comparatively quick and comparatively accurate discerns medical treatment detection data, obtains the medical treatment auxiliary result that medical treatment detection data correspond, when the real-time requirement of medical treatment detection data is higher, can comparatively quick obtain this medical treatment auxiliary result that medical treatment detection data, has improved the recognition efficiency of medical treatment auxiliary structure.
Meanwhile, the medical detection data transmitted in real time can be received and identified in the embodiment of the disclosure, so that the device can be applied to a medical detection scene for real-time detection and real-time judgment and analysis, such as an endoscope detection scene; the medical detection data detected in real time are analyzed and identified in real time, and medical auxiliary results are generated in real time, so that the real-time requirement under the medical detection scene is met.
In an alternative embodiment, refer to an architecture diagram of another data processing apparatus shown in fig. 2; the interface module 102 comprises at least one signal interface 121, wherein the signal interface 121 comprises one or more of the following: a Universal Serial Bus (USB) Interface, a Digital Visual Interface (DVI) Interface, a High Definition Multimedia Interface (HDMI) Interface, a Digital Serial Interface (SDI) Interface, and the like.
In implementation, a plurality of signal interfaces may be arranged on the interface module, and each signal interface may be provided with one or more structures; so that the AI chip can be connected to any type of medical examination device via the interface module. Therefore, the data processing equipment provided by the disclosure can be suitable for any type of medical detection equipment, and is flexible and wide in application range. Meanwhile, the user of the medical detection equipment does not need to update the existing medical detection equipment, convenience is provided for the user of the medical detection equipment, and meanwhile, the cost of the user is reduced.
The interface module is provided with at least one signal interface, the signal interfaces are various, so that the data processing equipment can receive medical detection data transmitted by various types of medical detection equipment in real time, the application range of the data processing equipment is wide, and the data processing equipment is flexible to use.
In an alternative embodiment, the medical AI algorithm comprises: at least one of a first medical AI algorithm for detecting first medical detection data detected by the ultrasound medical device, a second medical AI algorithm for detecting second medical detection data detected by the endoscope medical device, a third medical AI algorithm for detecting third medical detection data detected by the radiological medical device, and a fourth medical AI algorithm for detecting fourth medical detection data detected by the ophthalmic medical device.
By integrating at least one of the first medical AI algorithm, the second medical AI algorithm, the third medical algorithm and the fourth medical algorithm on the AI chip, the types of the medical AI algorithms integrated by the data processing equipment are flexible, the medical detection data detected by different medical detection equipment can be identified, the identification flexibility is improved, and the equipment is widely applied.
Wherein the first medical AI algorithm may include a plurality of first detection algorithms for first target detection of different organs of a human body; and the second medical AI algorithm comprises a plurality of second detection algorithms for second target detection of different organs of the human body; the third medical AI algorithm includes a plurality of third detection algorithms for performing third target detection on different organs of the human body; the fourth medical AI algorithm includes a plurality of fourth detection algorithms for performing a fourth target detection on the eye.
For example, the first detection algorithm may include, but is not limited to: gastroscopy AI algorithm, enteroscopy AI algorithm, laparoscopic AI algorithm, and the like. The first target detection may include, but is not limited to: the method comprises the steps of detecting the region where the organ is located, detecting abnormal regions on the organ, detecting abnormal types corresponding to the abnormal regions, and detecting abnormal levels corresponding to the abnormal regions. For example, the gastroscopy AI algorithm may detect the first medical detection data, determine the location information of the stomach region, the location information of the lesion region contained in the stomach region, the contour information of the lesion region, the type of lesion corresponding to the lesion region, the lesion level, and so on. Alternatively, the gastroscopy AI algorithm 1 may perform region detection on the first medical detection data to determine the position information of the stomach region; the gastroscopy AI algorithm 2 may perform lesion region detection on the first medical detection data, and determine position information of a lesion region contained in the stomach region; the gastroscopy AI algorithm 3 may perform lesion contour detection on the first medical detection data, determine contour information of a lesion region, and the like. Through the detection, a detection result is obtained, so that medical staff can quantitatively analyze the volume, the density and the like of the disease of the patient by using the detection result.
The second detection algorithm may include, but is not limited to: thyroid ultrasound AI algorithm, breast ultrasound AI algorithm, prostate ultrasound AI algorithm, liver ultrasound AI algorithm, and the like. The second target detection may include, but is not limited to: the method comprises the steps of detecting the region where the organ is located, detecting abnormal regions on the organ, detecting abnormal types corresponding to the abnormal regions, and detecting abnormal levels corresponding to the abnormal regions. For example, the liver ultrasound AI algorithm may detect the second medical detection data, and determine location information of the liver region, location information of a lesion region included in the liver region, contour information of the lesion region, a lesion type corresponding to the lesion region, a lesion level, and the like.
The third detection algorithm may include, but is not limited to: an AI algorithm to detect chest CT, an AI algorithm to detect hand CT, etc. The third target detection may include, but is not limited to: the method comprises the steps of detecting the region where the organ is located, detecting abnormal regions on the organ, detecting abnormal types corresponding to the abnormal regions, and detecting abnormal levels corresponding to the abnormal regions.
The fourth target detection by the fourth detection algorithm may include, but is not limited to: the detection of whether the eye region has at least one of abnormality, abnormality type detection, and abnormality level detection. Such as detecting the presence of diabetes in the eye region, the stage in which diabetes is located, etc.
When the method is implemented, the AI algorithm integrated on the AI chip can be continuously updated and iterated so as to meet the requirements of real-time performance and accuracy of the medical detection equipment. For example, after the first detection algorithm is updated, the updated first detection algorithm may be integrated into the AI chip, so that the AI chip after the algorithm update can perform faster-reading and more accurate identification on the medical detection data.
Here, the first medical AI algorithm includes a plurality of first detection algorithms, the second medical AI algorithm includes a plurality of second detection algorithms, the third medical AI algorithm includes a plurality of third detection algorithms, and the fourth medical AI algorithm may include a plurality of fourth detection algorithms, which are relatively comprehensive, so that the data processing device can identify the received medical detection data corresponding to different organs, thereby expanding the application range of the data processing device.
In an optional embodiment, the AI chip further integrates at least one decoding algorithm thereon, and the AI chip is further configured to: before the medical detection data are identified, decoding processing is carried out on the medical detection data based on a decoding algorithm matched with the data format of the medical detection data, and medical detection data which can be identified by the medical AI algorithm are generated.
After the AI chip acquires the medical detection data from the medical detection equipment, the medical detection data can be decoded by using a decoding algorithm integrated on the AI chip to generate medical detection data which can be identified by the medical AI algorithm, considering that the format of the medical detection data may be a data format which cannot be processed by the AI algorithm. And then, the medical detection data which can be identified by the generated medical AI algorithm is identified by utilizing the integrated medical AI algorithm, and a medical auxiliary result corresponding to the medical detection data is obtained.
In implementation, one or more decoding algorithms can be integrated on the AI chip, and different decoding algorithms are used for decoding medical detection data in different data formats. In implementation, the calculation unit included in the AI chip may be used to decode the medical detection data, and then identify the identifiable medical detection data generated after decoding.
Here, before the medical examination data is identified, the medical examination data may be decoded by using a decoding algorithm matching the data format of the medical examination data to generate medical examination data recognizable by the medical AI algorithm, so that the recognizable medical examination data can be identified by the subsequent medical AI algorithm.
In an alternative embodiment, the apparatus further comprises: a network communication module 103, wherein the network communication module 103 is connected to the AI chip 101;
the network communication module 103 is configured to transmit the medical test data and/or the medical assistance result to a remote processing device. The remote processing equipment can synchronously display the received medical detection data and/or medical auxiliary results so as to improve the display flexibility of the medical detection data and/or medical auxiliary results; the received medical examination data and/or medical assistance results can also be stored to improve the safety of the medical examination data and/or medical assistance results.
In practice, the network communication module may include: a 5G module, a 4G module, a WIreless communication (wifi) module and other communication modules. The network communication module can transmit the acquired medical detection data to the remote processing equipment, so that the detection personnel can conduct remote consultation through the medical detection data displayed by the remote processing equipment.
The network communication module can also transmit the medical auxiliary result to the remote processing equipment after the medical auxiliary result obtained by identifying the medical detection data by the AI algorithm, so that the detection personnel can remotely conduct remote consultation based on the received medical auxiliary result. The remote processing device may be any device capable of receiving medical test data and medical assistance results, and for example, the remote processing device may include a server, a computer, a personal terminal device, and the like.
Here, the data processing device may further include a network communication module, and the network communication module is used to transmit the medical detection data and/or the medical assistance result to the remote processing device, so as to realize remote transmission of the medical detection data and/or the medical assistance result, thereby improving flexibility of the medical detection data and/or the medical assistance result.
In an optional embodiment, the apparatus further comprises a first display module 104, wherein the first display module 104 is connected to the interface module 102;
the interface module 102 is configured to transmit the medical assistance result to the first display module;
the first display module 104 is configured to display the received medical assistance result.
During implementation, a first display module can be further arranged, the first display module is connected with the interface module, after the medical auxiliary result obtained by identifying the medical detection data through the AI algorithm is sent to the first display module through the interface module, and the first display module displays the received medical auxiliary result. For example, the first display module may be a display screen capable of displaying the medical assistance result; or the first display module can also be: any display device including a display screen, such as a mobile phone, a tablet, a computer, a television, and the like.
Here, the device may further include a first display module, the first display module is connected to the interface module, the interface module transmits the medical assistance result to the first display module, and the medical assistance result is displayed through the first display module, so that the detection person can have clear and definite knowledge of the medical assistance result.
In a possible implementation manner, the apparatus further includes a second display module 105, the second display module 105 is located on the housing of the apparatus, and the second display module 105 is connected to the AI chip; and the second display module is used for receiving and displaying the medical auxiliary result obtained by the AI chip identification.
In practice, the second display module may be directly disposed on the housing of the device, for example, the second display module may be a display screen. For example, a display screen may be directly integrated on the housing of the device, so that the display screen can display the identified medical assistance result in real time. After the AI chip identifies the medical assistance result, the medical assistance result can be sent to the second display module for display.
Here, a second display module may be further disposed on the housing of the device, for example, the second display module may be a display screen, and the medical assistance result is received and displayed through the second display module, so that the display speed of the medical assistance result is increased.
In an alternative embodiment, the data processing device is a computing stick structure, and the data processing device includes a housing and a main body, the housing is used for wrapping the main body, and the AI chip 101 and the interface module 102 are integrated on the main body.
In practice, the network communication module 103 may also be integrated into the body. Alternatively, the second display module may be integrated into the housing.
The data processing device is of a computing bar structure, and the data processing device of the computing bar structure can be a plug-and-play universal external AI device. Wherein, the structure of the computing rod can be set according to actual needs. For example, the computing stick structure may be a stick structure, a box structure, or any other structure.
Here, the data processing apparatus is a computing stick structure, the data processing apparatus includes a housing for enclosing the main body and a main body on which the AI chip and the interface module are integrated. The data processing equipment is designed into a computing rod structure, so that the data processing equipment is small in size, convenient to move and improved in flexibility. Meanwhile, after the data processing equipment is connected with the frequently-moving medical detection equipment, the detection efficiency of the medical detection equipment cannot be influenced on the basis of realizing real-time identification of medical detection data detected by the medical detection equipment, and the data processing equipment is widely applied.
By arranging the data processing equipment with a universal plug-and-play computing rod structure, the AI medical application scenes of endoscopes, ultrasound, radiation and the like which need real-time data acquisition and real-time judgment and analysis are met, an integral solution of software and hardware integration is formed, and various disease analysis application scenes can be met by loading and replacing different medical AI algorithm models. Meanwhile, the data processing equipment can be compatible with various types of medical detection equipment, so that the reconstruction cost and the application cost of a user of the medical detection equipment are lower, and the practicability and the flexibility of the data processing equipment are improved.
It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.
Based on the same concept, the embodiment of the present disclosure further provides a data processing system, and as shown in fig. 3, an architecture schematic diagram of the data processing system provided for the embodiment of the present disclosure includes the data processing device 301 and at least one medical detection device 302 described in the foregoing embodiment; the data processing device 301 is connected with each medical detection device 302; specifically, the method comprises the following steps:
the data processing device 301 is configured to obtain medical detection data detected by each medical detection device 302, and identify the medical detection data by using an integrated medical AI algorithm to obtain a medical assistance result corresponding to the medical detection data.
In practice, a data processing device may be associated with each medical testing device. When the number of the medical detection devices is multiple, multiple interfaces may be provided on the data processing device, and each interface may be connected to one medical detection device. Alternatively, an interface may be provided on the data processing apparatus, and the data processing apparatus may be connected to the plurality of medical examination apparatuses via a connection line including a plurality of interfaces. For example, one end of the connecting line is connected to the data processing device, and a plurality of interfaces included at the other end are respectively connected to the medical detection devices.
When the number of the medical detection devices is multiple, the data processing device can acquire the medical detection data detected by each medical detection device, and respectively identify each medical detection data by using an integrated medical AI algorithm to obtain a medical auxiliary result corresponding to each medical detection data.
In an alternative embodiment, the medical testing device comprises at least one of an ultrasound medical device, an endoscopic medical device, a radiological medical device, and an ophthalmic medical device.
In some embodiments, the functions of the apparatus provided in the embodiments of the present disclosure or the included templates may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, no further description is provided here.
Furthermore, the disclosed embodiments also provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, performs the steps of the reasoning process of the medical AI algorithm described in the above embodiments. The storage medium may be a volatile or non-volatile computer-readable storage medium.
The embodiments of the present disclosure also provide a computer program product, where the computer program product carries a program code, and instructions included in the program code may be used to execute the steps of the reasoning process of the medical AI algorithm in the foregoing method embodiments, which may be referred to specifically for the foregoing method embodiments, and are not described herein again.
The computer program product may be implemented by hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
If the technical scheme of the application relates to personal information, a product applying the technical scheme of the application clearly informs personal information processing rules before processing the personal information, and obtains personal independent consent. If the technical scheme of the application relates to sensitive personal information, a product applying the technical scheme of the application obtains individual consent before processing the sensitive personal information, and simultaneously meets the requirement of 'express consent'. For example, at a personal information collection device such as a camera, a clear and significant identifier is set to inform that the personal information collection range is entered, the personal information is collected, and if the person voluntarily enters the collection range, the person is regarded as agreeing to collect the personal information; or on the device for processing the personal information, under the condition of informing the personal information processing rule by using obvious identification/information, obtaining personal authorization by modes of popping window information or asking a person to upload personal information of the person by himself, and the like; the personal information processing rule may include information such as a personal information processor, a personal information processing purpose, a processing method, and a type of personal information to be processed.
The above are only specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present disclosure, and shall be covered by the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (10)
1. A data processing apparatus, characterized by comprising: an artificial intelligence chip and an interface module;
the interface module is used for receiving medical detection data transmitted in real time and sending the medical detection data to the artificial intelligent chip;
the artificial intelligence chip is used for identifying the medical detection data by using an integrated medical artificial intelligence algorithm to obtain a medical auxiliary result corresponding to the medical detection data.
2. The apparatus of claim 1, wherein the data processing device is a computing stick structure, the data processing device comprising a housing and a body, the housing for enclosing the body, the artificial intelligence chip and the interface module being integrated on the body.
3. The apparatus of claim 1, wherein the interface module comprises at least one signal interface comprising one or more of: universal serial bus interface, digital video interface, high-definition multimedia interface, and digital serial interface.
4. The apparatus of claim 1, wherein the medical artificial intelligence algorithm comprises: the medical treatment system comprises at least one of a first medical artificial intelligence algorithm for detecting first medical detection data detected by ultrasonic medical equipment, a second medical artificial intelligence algorithm for detecting second medical detection data detected by endoscopic medical equipment, a third medical artificial intelligence algorithm for detecting third medical detection data detected by radiological medical equipment and a fourth medical artificial intelligence algorithm for detecting fourth medical detection data detected by ophthalmic medical equipment.
5. The apparatus of claim 1, wherein the artificial intelligence chip further has integrated thereon at least one decoding algorithm, the artificial intelligence chip further configured to: before the medical detection data are identified, decoding the medical detection data based on a decoding algorithm matched with the data format of the medical detection data to generate the medical detection data identifiable by the medical artificial intelligence algorithm.
6. The apparatus of any one of claims 1 to 5, further comprising: the network communication module is connected with the artificial intelligence chip;
the network communication module is used for transmitting the medical detection data and/or the medical auxiliary result to a remote processing device.
7. The device according to any one of claims 1 to 6, further comprising a first display module, wherein the first display module is connected to the interface module;
the interface module is used for transmitting the medical auxiliary result to the first display module;
the first display module is used for displaying the received medical auxiliary result.
8. The device according to any one of claims 1 to 7, further comprising a second display module, wherein the second display module is located on a housing of the device, and the second display module is connected to the artificial intelligence chip;
and the second display module is used for receiving and displaying the medical auxiliary result obtained by the artificial intelligence chip.
9. A data processing system, characterized in that the system comprises: a data processing device according to any one of claims 1 to 8, and at least one medical detection device; the data processing equipment is connected with each medical detection equipment;
the data processing device is used for acquiring medical detection data detected by each medical detection device, and identifying the medical detection data by using an integrated medical artificial intelligence algorithm to obtain a medical auxiliary result corresponding to the medical detection data.
10. The system of claim 9, wherein the medical detection device comprises at least one of an ultrasound medical device, an endoscopic medical device, a radiological medical device, and an ophthalmic medical device.
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