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Enteroscopy quality standard and scoring system based on image recognition

A technology for colonoscopy and quality standards, applied in the field of image recognition and intelligent medical care, can solve the problems of quantitative evaluation, increased perforation risk and pain, lack of quantitative scoring methods for individual scoring, etc., and achieves huge economic and social benefits.

Inactive Publication Date: 2020-10-30
TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0004] At present, the quality control system of colonoscopy mainly focuses on the evaluation and requirements of the overall quality of colonoscopy in the past period of time, but it is difficult to quantitatively evaluate each inspection in actual clinical work, and there is currently a lack of quantitative scoring methods for it. Carry out individualized scoring, and it is impossible to compare the quality of each inspection at the same time
[0005] Although colonoscopy is relatively safe, there are still certain risks and pains, especially for some special patients, such as abdominal obesity, thin body, and patients with a history of abdominal surgery, the risk of perforation and pain increase accordingly
For patients, the decision to undergo a colonoscopy is undoubtedly a psychological, financial and temporal challenge

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  • Enteroscopy quality standard and scoring system based on image recognition

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Embodiment Construction

[0012] The specific implementation manner of the present invention will be described in detail below in conjunction with the accompanying drawings and preferred embodiments. Such as figure 1 with figure 2 As shown, a colonoscopy quality standard and scoring system based on image recognition is characterized in that: it includes two parts: the colonoscopy quality standard and the scoring system;

[0013] The evaluation table for the quality standard of mid-enteroscopic examination includes the number of suspicious intestinal segments found in the whole process of withdrawal of the scope, the total inspection time, the time of withdrawal of the scope, the effective time of withdrawal of the scope, the total number of screenshots, whether the ileocecal is reached, whether the rectal reversal operation is performed, and the inspection is complete. Index, inspection clarity and safety index; the number of suspicious intestinal segments found in the whole process of withdrawing th...

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Abstract

The invention relates to the technical field of image recognition and intelligent medical treatment, in particular to an enteroscopy quality standard and scoring system based on image recognition, which is characterized by comprising a middle enteroscopy quality standard and a scoring system, wherein the enteroscopy quality standard judgment table comprises the number of suspicious intestinal segments found in the whole enteroscopy withdrawal process, the total check time, the enteroscopy withdrawal time, the effective enteroscopy withdrawal time, the total number of screenshots, whether a blindness return part is reached or not, whether rectum inversion operation is carried out or not, the check integrity index, the check definition and the safety index. The enteroscopy quality standard and scoring system can provide an enteroscopy quality standard to quantitatively evaluate each examination of the whole life, and meanwhile, can perform individual scoring on each examination of each doctor according to the provided enteroscopy quality standard. In this way, a doctor can more carefully examine the enteroscope, and the doctor can also discover the defects of the doctor and continuously improve the operation technique, meanwhile, a patient can be more relieved, and huge economic and social benefits are achieved.

Description

technical field [0001] The invention relates to the technical fields of image recognition and intelligent medical treatment, in particular to an image recognition-based colonoscopy quality standard and scoring system. Background technique [0002] In my country, the incidence of colorectal cancer (CRC) ranks 3rd to 5th among malignant tumors, and its case fatality rate ranks 5th among malignant tumors. Colorectal adenoma is the most important precancerous lesion of CRC. Timely screening, detection of colorectal adenoma and endoscopic resection are effective measures to prevent CRC. [0003] Poor quality colonoscopies are associated with increased rates of missed colorectal adenomas (AMRs) and interval cancers. At present, the quality of colonoscopy is uneven, and the adenoma detection rate (ADR) of different screening populations varies greatly, ranging from 20% to 47%. % to 86%. [0004] At present, the quality control system of colonoscopy mainly focuses on the evaluati...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G16H30/00
CPCG06Q10/06395G16H30/00G06Q10/06
Inventor 王玉峰
Owner TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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