Mianyang

This research aims to verify the accuracy, stability, and clinical usefulness of artificial intelligence (AI) algorithms for measuring heart function through echocardiography. The study involves collaboration with multiple medical centers and focuses on comparing AI measurements with those done manually by physicians of different experience levels. It also explores whether AI can reduce the time needed for echocardiogram analysis and improve clinical workflows, while assessing AI's performance in complex heart conditions such as cardiomyopathy and valve disease. The study collects echocardiographic data using Mindray ultrasonic machines, with AI and physicians at each center measuring key heart parameters including left and right ventricular size and function. AI and intermediate doctors complete measurements within one day of data collection, while senior physicians at the main research unit finalize their assessments within one month. The goal is to establish a standardized reference system for AI in ultrasound measurement and promote its use across various medical institutions. Participants aged 18 to 80 years with specific heart conditions or normal hearts are involved. Researchers measure heart chamber sizes and functions through echocardiography, comparing AI and physician results for consistency and accuracy. The study also monitors how AI-assisted measurements could optimize diagnosis time and medical resource use. The total duration of participant involvement depends on data collection and measurement timelines, with ongoing analysis to support AI's clinical application in cardiovascular care.