Trans-esophageal echocardiography-guided left aurcle closure device selection system based on artificial intelligence

Abstract

The invention relates to the technical field of data automatic intelligent processing and discrimination system, and discloses a trans-esophageal echocardiography-guided left aurcle closure device selection system based on artificial intelligence. The trans-esophageal echocardiography-guided left aurcle closure device selection system based on artificial intelligence includes a data collection total system, a cloud platform data storage system, a data modeling and analysis system, and a data display system, wherein the data collection total system is in communication connection to the cloud platform data storage system; the cloud platform data storage system is connected to the data modeling and analysis system; and the data display system is connected to the data modeling and analysis system. The trans-esophageal echocardiography-guided left aurcle closure device selection system based on artificial intelligence selects the type and size of a left aurcle closure device according to the discriminating result data, so that the software can automatically select a closure device most suitable for the patient according to the left aurcle image data provided by esophageal echocardiography, thereby reducing improper selection of instruments, caused by subjective selection bias of the operator, reducing the radiation intake and patient contrast intake of the operator, and ultimately increasing the success rate of surgery.

Description

technical field [0001] The invention relates to the technical field of automatic and intelligent data processing and discrimination systems, in particular to an artificial intelligence-based left atrial appendage occluder selection system guided by transesophageal echocardiography. Background technique [0002] Non-valvular atrial fibrillation is the most common arrhythmia among hospitalized patients in my country. Today, there are more than 10 million non-valvular atrial fibrillation patients in China. Long-term poorly controlled atrial fibrillation will increase the incidence of stroke by 6-10 times Therefore, prevention of stroke is very important for patients with atrial fibrillation. At present, oral anticoagulants such as warfarin, factor Xa inhibitors and direct thrombin inhibitors are the most commonly used treatment for stroke prevention in patients with atrial fibrillation. However, all anticoagulant drugs inevitably lead to an increased risk of bleeding. Since 90% o...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an artificial intelligence-based left atrial appendage occluder selection system guided by transesophageal echocardiography, which has the advantage of automatically selecting the most suitable occluder for the patient according to the image data of the left atrial appendage provided by esophageal echocardiography, and solves the above-mentioned background technology issues mentioned in

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