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Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods

NCT06314295 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1500

Last updated 2025-11-21

No results posted yet for this study

Summary

The incidence rate and mortality of coronary artery disease are increasing year by year. Exploring non-invasive, accurate, and widely applicable methods to screen and diagnosis is of great significance. New ultrasound techniques, such as non-invasive myocardial work, have been proven to be superior to traditional ultrasound techniques in screening and diagnosis. However, diagnostic analysis based on ultrasound video images is time-consuming and subjective. The progress of artificial intelligence technology in fully automated quantitative evaluation of video images provides the possibility for computer-aided design screening and diagnosis. At present, the application of artificial intelligence in computer-aided design is a cutting-edge issue in the field of cardiovascular disease research. The application of artificial intelligence technology in the construction of computer-aided diagnostic models based on ultrasound video images is still in its early stages.

Conditions

Sponsors & Collaborators

  • Beijing Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-03-11
Primary Completion
2026-03-11
Completion
2026-05-11

Countries

  • China

Study Locations

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Entities

Diseases

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 NCT06314295 on ClinicalTrials.gov