CN113558661A - Antenatal ultrasound AI intelligent quality control system - Google Patents
Antenatal ultrasound AI intelligent quality control system Download PDFInfo
- Publication number
- CN113558661A CN113558661A CN202110918035.3A CN202110918035A CN113558661A CN 113558661 A CN113558661 A CN 113558661A CN 202110918035 A CN202110918035 A CN 202110918035A CN 113558661 A CN113558661 A CN 113558661A
- Authority
- CN
- China
- Prior art keywords
- module
- electrically connected
- image
- quality control
- ultrasonic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003908 quality control method Methods 0.000 title claims abstract description 34
- 238000002604 ultrasonography Methods 0.000 title claims description 29
- 238000004458 analytical method Methods 0.000 claims abstract description 38
- 238000012545 processing Methods 0.000 claims abstract description 33
- 238000000605 extraction Methods 0.000 claims abstract description 25
- 238000012544 monitoring process Methods 0.000 claims abstract description 23
- 238000005259 measurement Methods 0.000 claims abstract description 16
- 238000003702 image correction Methods 0.000 claims abstract description 14
- 230000007170 pathology Effects 0.000 claims description 28
- 238000000034 method Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 3
- 238000000354 decomposition reaction Methods 0.000 claims 1
- 238000010191 image analysis Methods 0.000 claims 1
- 238000002601 radiography Methods 0.000 claims 1
- 230000001575 pathological effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000001605 fetal effect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 210000003754 fetus Anatomy 0.000 description 2
- 208000032170 Congenital Abnormalities Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000036244 malformation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000010827 pathological analysis Methods 0.000 description 1
- 230000001915 proofreading effect Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/44—Constructional features of the ultrasonic, sonic or infrasonic diagnostic device
- A61B8/4411—Device being modular
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0866—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving foetal diagnosis; pre-natal or peri-natal diagnosis of the baby
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Animal Behavior & Ethology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- Radiology & Medical Imaging (AREA)
- Theoretical Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Gynecology & Obstetrics (AREA)
- Pregnancy & Childbirth (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
Abstract
The invention discloses a prenatal ultrasonic AI intelligent quality control system which comprises an ultrasonic base station, an operation form monitoring module, a state analysis module, an operation mode monitoring module, a B ultrasonic processing module, an image extraction module, an AI processing unit, an image state analysis module, a non-standard tangent plane, an image model measurement module, an image correction module and a standard image extraction module. According to the prenatal ultrasonic AI intelligent quality control system, after the image state analysis module receives the image, whether the image is a standard section or a non-standard section is judged, the received image is fed back through the feedback module, the fed-back image measures the data of the image through the image model measurement module, and the image is automatically adjusted through the image correction module, so that the condition that the received image information is not standard and the follow-up medical care personnel cannot check the image clearly is avoided.
Description
Technical Field
The invention relates to the field of prenatal ultrasonic quality control, in particular to an intelligent prenatal ultrasonic AI quality control system.
Background
The examination of the B ultrasonic system of the fetus comprises the following steps: the content of prenatal conventional B-ultrasound examination, the fetal spine, the heart four-cavity section and the intra-abdominal organs of the prenatal conventional B-ultrasound examination are used for diagnosing most malformations of a fetus, the fetal B-ultrasound examination of the system can improve the screening rate of fetal malformations and reduce the fetal survival rate with serious disabilities, the system has strict requirements on B-ultrasound room doctors, equipment and instruments, examination time, content and gestational week size, the system is generally carried out within 23-24 weeks, the accuracy is influenced or the examination cannot be carried out due to missing time, image data models extracted by the existing ultrasound examination are inconsistent, and in the actual operation process of the ultrasound examination, images collected every time are not images capable of acquiring the standard section, so that the examination difficulty is greatly influenced.
Therefore, it is necessary to provide an intelligent quality control system for prenatal ultrasound AI to solve the above problems.
Disclosure of Invention
The invention mainly aims to provide an intelligent prenatal ultrasonic AI quality control system which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
the prenatal ultrasonic AI intelligent quality control system comprises an ultrasonic base station, wherein the ultrasonic base station is electrically connected with an operating state monitoring module, the operating state monitoring module is electrically connected with a state analysis module, the state analysis module is electrically connected with a warning module, the operating state monitoring module is electrically connected with an ultrasonic processing module, the ultrasonic processing module is electrically connected with an image extraction module, the image extraction module is electrically connected with an AI processing unit, the AI processing unit is electrically connected with an image state analysis module, the image state analysis module is electrically connected with a standard tangent plane, the image state analysis module is electrically connected with a non-standard tangent plane, the image state analysis module is electrically connected with a feedback module, the feedback module is electrically connected with an image model measurement module, the image model measurement module is electrically connected with an image correction module, and the image correction module is electrically connected with a standard image extraction module, the standard image extraction module is electrically connected with a pathology storage station, and the pathology storage station is electrically connected with a result pushing module.
Preferably, the output port of the B-mode base station is electrically connected to the input port of the monitoring module in the operating state, the output port of the monitoring mode in the operating state is electrically connected to the input port of the state analyzing module, and the output port of the state analyzing module is electrically connected to the input port of the warning mode.
Preferably, the ultrasonic base station comprises a storage module, an encryption module, an information backup unit and a quality control unit, wherein an outlet end of the quality control unit is electrically connected with an examination plate, an output port of the examination plate is electrically connected with input ports of the working information recording plate and the teaching plate, an output port of the teaching mode is electrically connected with an input port of the operation process plate, output ports of the module and the module in the operation process are electrically connected with an input port in the scoring mode, and an outlet end of the teaching module is electrically connected with an inlet end of a past illness state storage plate.
Preferably, the output port of the monitoring module in operation is electrically connected to the input port in the B-mode, the output port of the B-mode is electrically connected to the input port, the output port of the image processing and extracting module is electrically connected to the input port of the intelligent AI processing mode unit, and the output port of the artificial intelligent processing unit is electrically connected to the input port of the image modal analysis plate.
In a preferred mode, the output end and the input end of the module in the image state analysis mode and the output end and the input end under the standard and non-standard tangent planes are electrically connected with each other.
Preferably, the output end of the image state operation analysis mode is electrically connected with the input end of the feedback operation mode, the output end of the feedback mode is electrically connected with the inlet end of the image modeling measurement plate, the output end of the image module measurement module is electrically connected with the input end of the image proofreading module, the output end of the image correction module is electrically connected with the inlet end of the extraction module under the standard image, the output end of the extraction module in the standard image is electrically connected with the input end of the pathological information storage end, and the output end of the pathological storage port is electrically connected with the input end of the pushing result module.
Preferably, the output end for the pathology storage station is electrically connected with the input end for similar image searching, the output end for searching similar images is electrically connected with the input end of the contrast mode, and the output end comprising the contrast module is electrically connected with the input end for pathology module analysis.
Advantageous effects
Compared with the prior art, the invention provides an intelligent prenatal ultrasound AI quality control system, which has the following beneficial effects:
1. this intelligent quality control system of antenatal supersound AI through the storage module that sets up, can store the whole data that supersound basic station received, and information backup unit can back up these information, prevents that supersound basic station from going wrong, has avoided losing of data, and the encryption module can carry out encryption processing to supersound basic station, guarantees that supersound basic station's data can not be looked over by the outsider.
2. This intelligent quality control system of antenatal supersound AI, through the quality control unit that sets up, can carry out the accuse to the doctor that carries out the antenatal supersound, work information record module can be with doctor's operational information record, the teaching module can teach the doctor who contacts this system for the first time, operation process module can simulate the exercise to the doctor, the scoring module is to scoring through the doctor after the exercise, the past pathological information of hospital's storage can be looked over to the past state of an illness storage module, make things convenient for the doctor to look over the study, the information that the examination module can be recorded work information record module and teaching module is to the doctor operation and is graded, judge with this subsequent operation to the doctor.
3. This intelligent quality control system of antenatal supersound AI through the running state monitoring module that sets up, can monitor the state when supersound basic station moves, and the state analysis module carries out the analysis to it, if the operating condition of supersound basic station breaks down, the warning module can send the warning, reminds medical personnel to overhaul it, has prevented because the supersound basic station breaks down, leads to follow-up inspection mistake to appear.
4. The prenatal ultrasound AI intelligent quality control system is characterized in that an ultrasound machine processing module can send a command to an ultrasound machine, an ultrasound image is extracted through an image extraction module and sent to an AI processing unit for image processing, an image state analysis module can judge whether the image is a standard section or a non-standard section after receiving the image and feeds back the received image through a feedback module, the fed-back image measures the data through an image model measuring module, the image is automatically adjusted through an image correction module and then is transmitted to a pathology storage station through the standard image extraction module for examination, the information analyzed by the pathology storage station is pushed to a patient through a result pushing module, and the situation that the received image information is not standard and the subsequent medical care personnel cannot clearly check the image is avoided through the processing of the situation, resulting in problems with visiting the clinic.
5. This intelligent quality control system of prenatal supersound AI can store the pathology condition in the past through the pathology storage station that sets up, extracts wherein the back, and similar image searching module can seek it, compares through the comparison module, compares the similar department and the difference of two cases, and whether this condition adheres to the case in the past is analyzed via the pathology analysis module again.
Drawings
FIG. 1 is a main system diagram of the present invention;
FIG. 2 is a system diagram of a quality control unit according to the present invention;
figure 3 is a system diagram of the pathology storage station of the present invention.
Detailed Description
In order to make the technical means, creation features, achieved effects and purposes of the present invention simple and clear, the following specific implementation operations need to be combined for further explanation.
As shown in fig. 1-3, the prenatal ultrasound AI intelligent quality control system comprises an ultrasound base station, wherein the ultrasound base station is electrically connected with an operation state monitoring form, the operation state monitoring form is electrically connected with a state analysis form, the state analysis form is electrically connected with a warning form, the operation state monitoring form is electrically connected with an ultrasound machine processing form, the ultrasound machine processing module is electrically connected with an image extraction module, the image extraction module is electrically connected with an AI processing unit, the AI processing unit is electrically connected with an image state analysis module, the image state analysis module is electrically connected with a standard tangent plane, the image state analysis module is electrically connected with a non-standard tangent plane, the image state analysis module is electrically connected with a feedback module, the feedback module is electrically connected with an image model measurement module, the image model measurement module is electrically connected with an image correction module, and the image correction module is electrically connected with a standard image extraction module, the standard image extraction module is electrically connected with a pathological storage station, the pathological storage station is electrically connected with a result pushing module, the output end of the ultrasonic base station is electrically connected with the input end of the running state monitoring module, the output end of the running state monitoring module is electrically connected with the input end of the state analysis module, the output end of the state analysis module is electrically connected with the input end of the warning module, the ultrasonic base station comprises a storage module, an encryption module, an information backup unit and a quality control unit, the output end of the quality control unit is electrically connected with an examination module, the output end of the examination module is electrically connected with the input ends of the working information recording module and the teaching module, the output end of the teaching module is electrically connected with the input end of the operation process module, the output end of the operation process module is electrically connected with the input end of the scoring module, and the output end of the teaching module is electrically connected with the input end of the past illness state storage module, the output end of the running state monitoring module is electrically connected with the input end of the ultrasonic processing module, the output end of the ultrasonic processing module is electrically connected with the input end of the time, the output end of the image extraction module is electrically connected with the input end of the AI processing unit, the output end of the AI processing unit is electrically connected with the input end of the image state analysis module, the output end and the input end of the image state analysis module are electrically connected with the output end and the input end of the standard section and the input end of the non-standard section, the output end of the image state analysis module is electrically connected with the input end of the feedback module, the output end of the feedback module is electrically connected with the input end of the image model measurement module, the output end of the image model measurement module is electrically connected with the input end of the image correction module, the output end of the image correction module is electrically connected with the input end of the standard image extraction module, and the output end of the standard image extraction module is electrically connected with the input end of the pathology storage station, the output end of the pathology storage station is electrically connected with the input end of the result pushing module, the output end of the pathology storage station is electrically connected with the input end of the similar image searching module, the output end of the similar image searching module is electrically connected with the input end of the pathology analysis module, the whole data received by the ultrasonic base station can be stored through the arranged storage module, the information backup unit can backup the information to prevent the ultrasonic base station from generating problems and avoid the data loss, the encryption module can encrypt the ultrasonic base station to ensure that the data of the ultrasonic base station can not be checked by outsiders, the doctor carrying out prenatal ultrasound can be controlled through the arranged quality control unit, the working information recording module can record the operating information of the doctor, and the teaching module can teach the doctor contacting the system for the first time, the operation process module can simulate and exercise doctors, the scoring module scores the trained doctors, the past illness state storage module can check past pathological information stored in a hospital, so that the doctors can check and learn conveniently, the examination module can score the doctor operation according to the information recorded by the working information recording module and the teaching module so as to judge the subsequent operation of the doctors, the running state monitoring module can monitor the running state of the ultrasonic base station, the state analysis module analyzes the information, if the working state of the ultrasonic base station fails, the warning module can give a warning to remind medical personnel to overhaul the ultrasonic base station, the problem that the subsequent examination fails due to the failure of the ultrasonic base station is prevented, the ultrasonic machine processing module can give a command to the ultrasonic machine, and the ultrasonic image is extracted through the image extraction module, the image state analysis module receives the image, judges whether the image is a standard section or a non-standard section, feeds back the received image through the feedback module, measures the data of the fed-back image through the image model measurement module, automatically adjusts the image through the image correction module, subsequently transmits correct image data to a pathology storage station through the standard image extraction module for examination, pushes the information which is examined and analyzed by the pathology storage station to a patient through the result pushing module, and avoids the problem that the received image information is not standard, so that the follow-up medical staff cannot check clearly, and the doctor can see the image, the past pathology condition can be stored through the set pathology storage station, and after the information is extracted, the similar image searching module searches the image, the similarity and difference of two cases are compared through a comparison module, and whether the condition is consistent with the past cases or not is analyzed through a pathological analysis module.
The prenatal ultrasound AI intelligent quality control system starts an ultrasound base station when in use, the ultrasound base station sends a working signal, an operation state monitoring module monitors the operation state of the ultrasound base station, if the state is wrong, a warning module sends a warning to medical staff to remind the medical staff to check the ultrasonic base station, if no problem exists, an ultrasonic processing module sends a signal, an image extraction module extracts an ultrasonic image to an AI processing unit, an image state analysis module analyzes the image state, checks whether the image is a standard section or a non-standard section, then the image is fed back to an image model measurement module through a feedback module, the image model measurement module carries out model measurement on the image, corrects the image through an image correction module to enable the image to be a standard section convenient to observe, and then the image is extracted to a pathology storage station through the standard image extraction module, the pathology storage station compares data through the similar image searching module, the comparison module compares the data, the pathology analysis module analyzes the pathology analysis module, and finally, the result is transmitted to the result pushing module to be pushed, the storage module can store the information received and sent by the ultrasonic base station, the information backup unit backs up the information, and the quality control unit scores and examines medical personnel through the examination module.
The foregoing illustrates and describes the principles, broad features and advantages of the present invention. As those skilled in the art will appreciate, the present invention is not limited to the above-described embodiments, but rather, the description and principles of the invention are set forth in all embodiments and descriptions herein, and changes and modifications may be made without departing from the spirit and scope of the invention and the invention is intended to be protected thereby. Including the definitions of the claims appended hereto and their equivalents.
Claims (7)
1. Prenatal ultrasonic AI intelligent quality control system, including the supersound basic station, its characteristic has: the B-ultrasonic base station is electrically connected with a monitoring module in a running state, the running form monitoring module is electrically connected with a state analyzing module, a state decomposing module and a warning module, the running state monitoring module is electrically connected with an ultrasonic machine processing module, the ultrasonic machine processing module is electrically connected with an image extracting module, the image extracting module is electrically connected with an AI processing unit, the AI processing unit is electrically connected with an image state analyzing module, the image state analyzing module is electrically connected with a standard tangent plane, the image state analyzing module is electrically connected with a non-standard tangent plane, the image state analyzing module is electrically connected with a feedback module, the feedback module is electrically connected with an image model measuring module, the image model measuring module is electrically connected with an image correcting module, and the image correcting module is electrically connected with a standard image extracting module, the standard image extraction module is electrically connected with a pathology storage station, and the pathology storage station is electrically connected with a result pushing module.
2. The prenatal B-ultrasonic artificial intelligent quality control system as set forth in claim 1, which is characterized in that: the output port of the B-mode ultrasonic base station is electrically connected with the input end of the operation mode monitoring module, the outlet end of the monitoring module in the operation state is electrically connected with the inlet end of the analysis module, and the outlet end of the state decomposition module is electrically connected with the inlet end of the alarm module.
3. The prenatal ultrasound AI intelligent quality control system of claim 1, wherein: the ultrasonic base station comprises a storage module, an encryption module, an information backup unit and a quality control unit, wherein the outlet end of the quality control unit is electrically connected with an examination module, the outlet end of the examination module is electrically connected with the inlet ends of a working information recording module and a teaching module, the output port of a teaching plate is electrically connected with the input port of the module in the operation process, the output port of the module in the operation process is electrically connected with the input port of a scoring module, and the outlet end of the teaching plate is electrically connected with the inlet end of a past illness state storage recording module.
4. The prenatal ultrasound AI intelligent quality control system as claimed in claim 1, which is mainly characterized by: the output end of the running state monitoring module is electrically connected with the input end of the B-ultrasonic machine processing module, the output end of the B-ultrasonic processing plate is electrically connected with the input port, the outlet end of the image extraction plate is electrically connected with the input port of the intelligent AI processing unit, and the outlet end of the AI intelligent processing unit is electrically connected with the input port of the image analysis state module.
5. The prenatal ultrasound AI intelligent quality control system of claim 1, wherein: the output end and the input end of the image state analysis module are electrically connected with the standard tangent plane and the output end and the input end of the non-standard tangent plane.
6. The prenatal ultrasound AI intelligent quality control system of claim 1 having: the output port of the image state analysis module is electrically connected with the input port of the feedback interface, the output port of the feedback mode is electrically connected with the input port of the image model drawing measurement plate, the output port of the image radiography measurement module is electrically connected with the input port of the image correction plate, the output port of the image correction module is electrically connected with the input port of the image standard extraction plate, the output port of the standard image extraction plate is electrically connected with the input port of the pathology storage station, and the output port of the pathology storage station is electrically connected with the input port of the result pushing module.
7. The prenatal ultrasound AI intelligent quality control system of claim 1, wherein: the output port of the pathology information storage station is electrically connected with the input port of the similar image screening module, the outlet end of the similar image screening module is electrically connected with the inlet end of the comparison module, and the outlet end of the comparison module is electrically connected with the inlet end of the pathology analysis module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110918035.3A CN113558661A (en) | 2021-08-11 | 2021-08-11 | Antenatal ultrasound AI intelligent quality control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110918035.3A CN113558661A (en) | 2021-08-11 | 2021-08-11 | Antenatal ultrasound AI intelligent quality control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113558661A true CN113558661A (en) | 2021-10-29 |
Family
ID=78171221
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110918035.3A Pending CN113558661A (en) | 2021-08-11 | 2021-08-11 | Antenatal ultrasound AI intelligent quality control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113558661A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050108052A1 (en) * | 2003-11-03 | 2005-05-19 | Omaboe Nortey J. | Proces for diagnosic system and method applying artificial intelligence techniques to a patient medical record and that combines customer relationship management (CRM) and enterprise resource planning (ERP) software in a revolutionary way to provide a unique-and uniquely powerful and easy-to-use-tool to manage veterinary or human medical clinics and hospitals |
| CN103117010A (en) * | 2011-11-17 | 2013-05-22 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic imaging simulation system |
| US20180348092A1 (en) * | 2015-11-21 | 2018-12-06 | Attili Venkata Satya Suresh | System and method for automated gross examination of tissues |
| CN109350111A (en) * | 2018-10-08 | 2019-02-19 | 史建玲 | A kind of image data integration system and method for ultrasound |
| CN110111329A (en) * | 2019-05-17 | 2019-08-09 | 四川大学华西第二医院 | One kind being based on artificial intelligence ultrasonic image detection method and system |
| CN110301940A (en) * | 2019-06-17 | 2019-10-08 | 翟凯 | A kind of abdominal cavity color ultrasound instrument based on machine learning |
| CN110742646A (en) * | 2019-10-18 | 2020-02-04 | 徐丹 | Intelligent gynecological B-ultrasonic examination control system and method |
| CN111223092A (en) * | 2020-02-28 | 2020-06-02 | 长沙大端信息科技有限公司 | Automatic quality control system and detection method for ultrasonic sectional images of fetus |
-
2021
- 2021-08-11 CN CN202110918035.3A patent/CN113558661A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050108052A1 (en) * | 2003-11-03 | 2005-05-19 | Omaboe Nortey J. | Proces for diagnosic system and method applying artificial intelligence techniques to a patient medical record and that combines customer relationship management (CRM) and enterprise resource planning (ERP) software in a revolutionary way to provide a unique-and uniquely powerful and easy-to-use-tool to manage veterinary or human medical clinics and hospitals |
| CN103117010A (en) * | 2011-11-17 | 2013-05-22 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic imaging simulation system |
| US20180348092A1 (en) * | 2015-11-21 | 2018-12-06 | Attili Venkata Satya Suresh | System and method for automated gross examination of tissues |
| CN109350111A (en) * | 2018-10-08 | 2019-02-19 | 史建玲 | A kind of image data integration system and method for ultrasound |
| CN110111329A (en) * | 2019-05-17 | 2019-08-09 | 四川大学华西第二医院 | One kind being based on artificial intelligence ultrasonic image detection method and system |
| CN110301940A (en) * | 2019-06-17 | 2019-10-08 | 翟凯 | A kind of abdominal cavity color ultrasound instrument based on machine learning |
| CN110742646A (en) * | 2019-10-18 | 2020-02-04 | 徐丹 | Intelligent gynecological B-ultrasonic examination control system and method |
| CN111223092A (en) * | 2020-02-28 | 2020-06-02 | 长沙大端信息科技有限公司 | Automatic quality control system and detection method for ultrasonic sectional images of fetus |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA2739378C (en) | Method and apparatus for monitoring physiological parameter variability over time for one or more organs | |
| CN108847274B (en) | Vital sign data processing method and system based on cloud platform | |
| CN111310851A (en) | Artificial intelligence ultrasonic auxiliary system and application thereof | |
| CN110251836A (en) | Defibrillation system | |
| Patient | and Computers and Printers | |
| US20150164428A1 (en) | Method for Multi-Scale Quality Assessment for Variability Analysis | |
| CN106485037B (en) | Image data integration system for Heart Echo | |
| CN105919583A (en) | Antenatal training device and fetus-voice meter integrated machine | |
| CN105147265A (en) | Modularization remote mobile diagnosis platform | |
| CN106951676A (en) | A kind of medical clinical laboratory laboratory sample management system | |
| CN116844733B (en) | Medical data integrity analysis method based on artificial intelligence | |
| CN117292836A (en) | Body measurement score monitoring method and system | |
| CN113558661A (en) | Antenatal ultrasound AI intelligent quality control system | |
| CN116825337A (en) | Patient safety nursing early warning system | |
| CN111243723A (en) | Medical information display system and display content generation method | |
| TWI571244B (en) | Echocardiographic data integrating system and method | |
| Aditya et al. | Review and design of a midwife prenatal kit for examinations in developing regions | |
| CN117524443B (en) | Data analysis-based severe medical department patient monitoring and management system | |
| CN117951190B (en) | Human body index abnormal data processing method and system based on artificial intelligence | |
| CN107085664A (en) | The medical record data for screening analysis for acute coronary syndrome is excavated | |
| CN117918890A (en) | Ultrasonic inspection system convenient for pregnant women to observe images and application method thereof | |
| CN116487018A (en) | Perioperative data acquisition system based on artificial intelligence and 5G | |
| CN116580803A (en) | Medical image data processing real-time transmission system | |
| Wacker et al. | Fetal Monitoring | |
| CN114464285A (en) | Artificial intelligence auxiliary image analysis system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20211029 |