Multi-center Study Evaluating AI Accuracy in Echocardiography for Heart Disease Diagnosis and Treatment Comparing AI and Physician Measurements Across Various Heart Conditions

What this Trial Is About

Researchers are conducting a multi-center clinical study to assess artificial intelligence AI algorithms for measuring heart function and size using echocardiography. The study aims to compare AI measurements with those of physicians at different experience levels, evaluate the accuracy and stability of AI, and explore its use in complex heart conditions like cardiomyopathy, valve disease, and coronary heart disease. The goal is to improve diagnostic consistency and clinical workflows across medical centers. The study involves measuring cardiac chamber size and function in 1600 participants using AI, senior physicians, and intermediate physicians. All measurements are made with Mindray ultrasonic machines. AI and intermediate physician results are completed within one day after data collection, while senior physician results are completed within one month. The study will establish a standardized reference system for AI-assisted echocardiographic measurements and evaluate AIs performance in special cases. Participants will undergo echocardiographic scans with measurements of left and right ventricular size and function, Doppler ultrasound indicators, and valve annulus displacements. Researchers will analyze data to compare AI and physician measurements, assess measurement deviations, and evaluate AIs efficiency in reducing analysis time. The study will run until July 2026, with ongoing data collection and analysis across multiple centers, aiming to promote wider clinical application of AI technology for cardiovascular disease diagnosis.

A Multi-center Study on Artificial Intelligence-Based Quantitative Evaluation of Echocardiography