A method and system for identifying and prompting anatomical variation based on artificial intelligence

Abstract

The invention relates to an artificial intelligence-based anatomical variation identification prompt method and system, including real-time collection of endoscopic images, and obtaining real-time organ segmentation data and instrument key point data according to the endoscopic organ segmentation model and instrument key point detection model; through analysis The positional relationship between the variable structure and surrounding organs is obtained from imaging images before surgery, and the segmented data of organs and tissues around the variable structure in the imaging images are extracted for comparison to determine the position of the variable structure; When operating in the variable anatomical structure area, prompts are given to the variable anatomical structure area, and the operation is performed according to the prompt. The present invention establishes the corresponding relationship between the imaging examination and the laparoscopic operation field of view, and the choroid pipeline structure of the key operation in the operation is accurately and effectively positioned, which provides important conditions for more accurate surgical operations.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an artificial intelligence-based anatomical variation identification and prompting method and system. Background technique [0002] In the surgical operations of various specialties, the existence of anatomical variation is a major problem commonly faced in various surgical procedures, and once it occurs, it is very likely to cause damage to the variation structure, resulting in bleeding, pipeline damage, nerve damage during the operation. Injuries, and the occurrence of adverse events such as postoperative bleeding, infection, loss of related functions, and even unnecessary postoperative disability and death, make the operation performed with high risks and potential doctor-patient disputes. [0003] On the one hand, due to the diversity, rarity, and unpredictability of anatomical variations, CT, MRI, neuroelectrophysiology, and various types of intraoperative a...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a method and system for identifying and prompting anatomical variations based on artificial intelligence, which solves the problem that doctors cannot foresee or judge the existence and location of anatomical variations due to various reasons. The problem of variable structure damage

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