A Multi-center Study on Artificial Intelligence-Based Quantitative Evaluation of Echocardiography
First Hospital of China Medical University
1,600 participants
Jul 22, 2025
OBSERVATIONAL
Conditions
Summary
This project aims to collaborate with multiple medical institutions to verify the accuracy, stability, and clinical application value of AI algorithms in echocardiographic quantitative measurement through multi-center clinical research. Specific objectives include: 1. Compare the automatic measurement results of AI with the manual measurement data from physicians of different levels, and analyze the measurement deviation and consistency of AI in key parameters such as intracardiac diameter, volume, and function. 2. Investigate whether AI-assisted measurement can significantly reduce echocardiogram analysis time and optimize clinical workflows. Through multi-center data validation, establish a standardized reference system for AI ultrasound measurement, promote the promotion and application of AI technology in medical institutions at all levels, and reduce diagnostic differences between different hospitals and physicians. 3. Exploring the application of AI in special cases: Assessing the measurement stability of AI algorithms in complex cases (such as cardiomyopathy, valvular disease, coronary heart disease, etc.), and optimizing AI models to meet broader clinical needs.
Eligibility
Inclusion Criteria10
- Age ≥18 - 80 years;
- Types of diseases (8 in total, 200 cases each):
- Normal heart
- Coronary heart disease (with segmental thinning and abnormal movement)
- Valve disease (valve stenosis or reflux)
- Hypertensive heart disease
- Atrial fibrillation
- Heart failure
- Dilated cardiomyopathy
- Hypertrophic cardiomyopathy
Exclusion Criteria2
- Patients with congenital heart disease
- Patients with poor image quality
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Locations(37)
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NCT07133516