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
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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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