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Sequential AI diagnosis model chest X-ray intelligent diagnosis system and method

A diagnostic model and intelligent diagnosis technology, applied in the field of medical information, can solve the problems of increasing patient examination costs and deviation of diagnostic results, and achieve the effects of reducing examination costs, high diagnostic accuracy, and logically reasonable results.

Pending Publication Date: 2020-11-10
北京赛迈特锐医疗科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the main purpose of the present invention is to provide a sequential AI diagnosis model for chest X-ray intelligent diagnosis system and method, which can solve the deviation of diagnosis results caused by logical defects and increase the number of patients in the prior art. The problem of inspection fees

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  • Sequential AI diagnosis model chest X-ray intelligent diagnosis system and method
  • Sequential AI diagnosis model chest X-ray intelligent diagnosis system and method

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Embodiment 1

[0028] figure 1 It shows a schematic structural diagram of a sequential AI diagnosis model for chest X-ray intelligent diagnosis system according to Embodiment 1 of the present invention; figure 1 As shown, the system includes: an image information management module 10, an image classification module 20, an image quality judgment module 30, an AI scheme management module 40, a postoperative and implant diagnosis module 50, a lung field segmentation diagnosis module 60, and a binary classification diagnosis module. Module 70 and Structured Reporting Module 80, wherein,

[0029] The image information management module 10 is connected to the image classification module 20, and is used to transmit the DICOM image of the patient to the image classification module 20 through the DICOM protocol when the patient has finished shooting the inspection item of which the chest radiograph is upright.

[0030] Wherein, the image information management module is a RIS (Radiology Information ...

Embodiment 2

[0054] figure 2 It shows a schematic structural diagram of a sequential AI diagnosis model for chest X-ray intelligent diagnosis system according to Embodiment 2 of the present invention, as shown in figure 2 As shown, when the data output by the binary classification diagnosis module 70 is abnormal diagnosis data, the system also includes a chest radiograph classification diagnosis module 90 and a chest radiograph lesion segmentation module 100, wherein,

[0055] The chest radiograph classification diagnosis module 90 is connected with the AI ​​scheme management module 40, and is used to receive the first image and the second image, based on the first image and the second image, identify the qualified image disease category, and output the fourth diagnostic data, and Send the fourth diagnosis data to the AI ​​scheme management module 40, at this time, the AI ​​scheme management module 40 sends the fourth diagnosis data to the structured report module 80;

[0056] The chest...

Embodiment 3

[0061] image 3 It shows a schematic structural diagram of a sequential AI diagnosis model for chest X-ray intelligent diagnosis system according to Embodiment 2 of the present invention, as shown in image 3 As shown, the postoperative and implant diagnosis module 50 includes an image quality segmentation unit 502, a metal implant diagnosis unit 504, an implant segmentation unit 506, and a mammary gland postoperative screening unit 508, wherein,

[0062] The image quality segmentation unit 502, the metal implant diagnosis unit 504, the implant segmentation unit 506, and the postoperative screening unit 508 run in parallel, that is, they run at the first time, wherein,

[0063] The image quality segmentation unit 502 is connected to the AI ​​solution management module 40, and is used to receive qualified images, search for radiation protection equipment, accessories and upper limbs based on the qualified images, and set the first implant label for the radiation protection equi...

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Abstract

The invention provides a sequential AI diagnosis model chest X-ray intelligent diagnosis system. The sequential AI diagnosis model chest X-ray intelligent diagnosis system comprises an image classification module for identifying a normal chest radiograph image in a DICOM image; the image quality judgment module extracts an orthotopic chest radiography image meeting a preset condition and defines the orthotopic chest radiography image as a qualified image; the postoperative and implanted object diagnosis module is used for detecting whether postoperative or implanted objects exist in the qualified images or not; the lung field segmentation diagnosis module is used for segmenting the lung field on a qualified image without an operation or an implant; the binary classification diagnosis module performs positive and abnormal diagnosis on the lung field; the AI scheme management module judges the operation sequence of each module, and sends the qualified images and the diagnosis data outputby the modules which are operated in advance to the modules which are operated in the later period according to preset configuration; the structured report module automatically generates a diagnosticimpression based on the diagnostic data of each module. The invention further discloses a chest X-ray intelligent diagnosis method of the sequential AI diagnosis model. According to the invention, the diagnosis accuracy is improved, and the examination cost is reduced.

Description

technical field [0001] The present invention relates to the field of medical information, more specifically, to a system and method for intelligent diagnosis of chest X-rays by a sequential AI diagnosis model. Background technique [0002] Chest X-ray is the most common chest imaging method, with low cost and wide application. However, chest X-ray is a superimposed image, and there are many types of diseases involved in the chest, from the lower neck to the upper abdomen, including the lower cervical spine, thoracic spine, upper lumbar spine, mediastinum, cardiovascular, lungs, thorax, and diaphragm Membrane, as well as some organs of the upper abdomen, are involved in most of the 20+ common diseases. Analyzing chest radiographs and making a correct diagnosis is one of the most difficult tasks in the field of diagnostic imaging. How to design AI diagnosis of chest X-ray image analysis to effectively help doctors improve efficiency is a complex task that needs to be balance...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G06T7/00G06T7/10
CPCG16H30/20G06T7/0012G06T7/10G06T2207/10081G06T2207/30061
Inventor 王霄英贺长征刘伟鹏黄嘉豪张虽虽
Owner 北京赛迈特锐医疗科技有限公司
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