Management system and management method for medical image artificial intelligence diagnosis data

A medical imaging and artificial intelligence technology, applied in the field of medical information, can solve the problems of continuous improvement of medical imaging AI diagnosis system, lack of integration of imaging structured reporting system, low work efficiency, etc., to optimize the AI ​​assisted diagnosis module and improve diagnosis. Efficiency, intelligent diagnosis and accurate effect

Pending Publication Date: 2020-05-15
北京赛迈特锐医疗科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the main purpose of the present invention is to provide a medical imaging artificial intelligence diagnosis data management system and its management method, which can solve the existing problems in the prior art that cannot help the medical imaging AI diagnosis system to continuously improve, lack and image structure Report problems of low work efficiency and inconvenient operation caused by system integration

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  • Management system and management method for medical image artificial intelligence diagnosis data
  • Management system and management method for medical image artificial intelligence diagnosis data
  • Management system and management method for medical image artificial intelligence diagnosis data

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Embodiment 1

[0036] figure 1 It shows a schematic structural diagram of a medical imaging artificial intelligence diagnosis data management system according to Embodiment 1 of the present invention;figure 1 As shown, the system includes a medical image information module 10, a data receiving module 20, a data processing module 30 and a plurality of single-disease artificial intelligence AI-assisted diagnosis modules 40, wherein,

[0037] The medical image information module 10 is connected with the data receiving module 20, and is used to transmit the medical image data to the data receiving module through relevant protocols or interfaces; wherein, the medical image data is medical digital imaging and communication DICOM image and report data;

[0038] Among them, the medical image information module 10 can be PACS (medical image archiving and transmission system), RIS (image information management system), HIS ((hospital information management system)), EMR (electronic medical record syste...

Embodiment 2

[0053] figure 2 It shows a schematic structural diagram of a medical imaging artificial intelligence diagnosis data management system according to Embodiment 2 of the present invention, as shown in figure 2 As shown, when the doctor writes an image structured report and / or browses the DICOM images, the data processing module 30 further includes an identification unit 302, which is used to identify the report data and / or DICOM images selected by the doctor, and convert the identified report The data and / or DICOM images are pushed to the matched single-disease AI-aided diagnosis module 40.

[0054] For example, when a doctor writes a structured image report, he needs to analyze the contrast agent. After the doctor selects the relevant parameters of the structured report according to his own judgment, the recognition unit 302 pushes the relevant parameters selected by the doctor to the matched single disease AI-aided diagnosis module 40, the single-disease AI-aided diagnosis m...

Embodiment 3

[0057] image 3 It shows a schematic structural diagram of a medical imaging artificial intelligence diagnosis data management system according to Embodiment 3 of the present invention; image 3 As shown, the data processing module 30 also includes: a data extraction unit 304, which is used to automatically push the marked DICOM image to the matching single-disease AI-assisted diagnosis module 40 when the doctor manually marks a certain DICOM image. .

[0058] For example, a doctor manually marks a DICOM image on the image browser based on his own judgment, draws a range of the lesion, and the data extraction unit automatically pushes the marked DICOM image to the matched single-disease AI-assisted The diagnosis module allows the single-disease AI-assisted diagnosis module to learn automatically, and further optimizes the single-disease AI-assisted diagnosis module.

[0059] The embodiment of the present invention sets up a data extraction unit. When a doctor manually marks ...

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Abstract

The invention provides a management system for medical image artificial intelligence diagnosis data. The management system comprises a medical image information module, a data receiving module, a dataprocessing module and a plurality of single disease type AI auxiliary diagnosis module, wherein the medical image information module is used for transmitting medical image data to the data receivingmodule through a related protocol or interface; the data receiving module, used for receiving and storing the medical image data; the data processing module, used for extracting the medical image data, judging examination types and examination items of a patient based on the medical image data, searching for one single disease type AI auxiliary diagnosis module matched with the medical image data,and automatically pushing the medical image data to the single disease type AI auxiliary diagnosis module; and each single disease type AI auxiliary diagnosis module is used for receiving the medicalimage data and carrying out intelligent diagnosis on a focus based on the medical image data. The invention further discloses a medical image artificial intelligence diagnosis data management method.The system can be fused with the AI auxiliary diagnosis module, so operation among all the management modules of an imaging department is simpler and more convenient, and the diagnosis efficiency ofdoctors is improved.

Description

technical field [0001] The present invention relates to the field of medical information, and more specifically, to a medical imaging artificial intelligence diagnosis data management system and a management method thereof. Background technique [0002] With the development of information technology and the construction of medical informatization, many imaging departments of medical institutions have installed and deployed medical imaging AI (artificial intelligence) diagnostic systems. At present, the following problems exist in the use of these systems: [0003] 1. There is no centralized management platform for medical imaging AI training and improvement data sets, and the acquisition of medical imaging data is relatively fragmented; [0004] 2. Doctors have no way to mark their own judgments on DICOM images to help the medical imaging AI diagnosis system to continuously improve. AI diagnosis systems without continuous improvement cannot be used, which can only make the d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H15/00G16H30/20G16H50/20G16H10/60G16H30/40
CPCG16H15/00G16H30/20G16H50/20G16H10/60G16H30/40
Inventor 贺长征吴卓胜吕磊
Owner 北京赛迈特锐医疗科技有限公司
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