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Multi-center artificial intelligence-based quantitative echocardiography evaluation

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

Observational First Hospital of China Medical University · NCT07133516

This project will test whether AI can automatically and accurately measure heart chamber sizes, volumes, and function from echocardiograms in adults with common cardiovascular conditions.

Quick facts

Study typeObservational
Enrollment1600 (estimated)
Ages18 Years to 80 Years
SexAll
SponsorFirst Hospital of China Medical University Academic / other
Locations37 sites (Huainan, Anhui and 36 other locations)
Trial IDNCT07133516 on ClinicalTrials.gov

What this trial studies

This multi-center observational project compares AI-generated echocardiographic measurements with manual measurements performed by physicians of different experience levels across several hospitals. It quantifies measurement deviations and consistency for key parameters such as intracardiac diameters, chamber volumes, and functional indices, and measures analysis time to determine workflow impact. The study enrolls roughly 200 cases in each of eight diagnostic categories to test AI performance in normal and pathological hearts and to explore performance in complex cases. Results will be used to create a standardized reference system for AI echo measurement and support wider clinical adoption.

Who should consider this trial

Good fit: Adults aged 18–80 with one of the specified conditions (normal heart, coronary artery disease, valvular disease, hypertensive heart disease, atrial fibrillation, heart failure, dilated cardiomyopathy, or hypertrophic cardiomyopathy) and adequate image quality are ideal candidates.

Not a fit: Patients with congenital heart disease, poor-quality echocardiographic images, or those outside the 18–80 age range are unlikely to benefit from this protocol.

Why it matters

Potential benefit: If successful, AI could standardize echo measurements, reduce inter-operator variability, and speed up reporting so more patients get consistent care sooner.

How similar studies have performed: Previous single-center and cohort studies have shown promising accuracy for AI-based echo measurements, but robust multi-center validation across diverse patient groups has been limited.

Eligibility criteria

Show full inclusion / exclusion criteria 
Inclusion Criteria:

1. Age ≥18 - 80 years;
2. Types of diseases (8 in total, 200 cases each):

   1. Normal heart
   2. Coronary heart disease (with segmental thinning and abnormal movement)
   3. Valve disease (valve stenosis or reflux)
   4. Hypertensive heart disease
   5. Atrial fibrillation
   6. Heart failure
   7. Dilated cardiomyopathy
   8. Hypertrophic cardiomyopathy

Exclusion Criteria:

1. Patients with congenital heart disease
2. Patients with poor image quality

Where this trial is running

Huainan, Anhui and 36 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
View on ClinicalTrials.gov → Find more trials like this →
Conditions Artificial IntelligenceArtificial Intelligence in DiagnosisCardiovascular DiseasesEchocardiography
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.