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

NCT07133516 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1600

Last updated 2025-08-21

No results posted yet for this study

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.

Conditions

  • Artificial Intelligence (AI)
  • Artificial Intelligence (AI) in Diagnosis
  • Cardiovascular Diseases (CVD)
  • Echocardiography

Sponsors & Collaborators

  • First Hospital of China Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-07-22
Primary Completion
2026-06-30
Completion
2026-07-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07133516 on ClinicalTrials.gov