Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods

November 18, 2025 updated by: Beijing Hospital
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.

Study Overview

Status

Recruiting

Conditions

Detailed Description

1) Clarify the value of new cardiac ultrasound techniques indicators in coronary artery disease diagnosis; 2) To achieve classification and detection of cardiac ultrasound sections; Implementing automatic segmentation and recognition of the left ventricular cavity, left ventricular myocardium, and left atrial wall contours through the CLAS model; Using the another model to achieve heart motion tracking and synthesizing velocity vector maps of the heart flow field. 3) Verify and optimize the coronary artery disease fully automated artificial intelligence diagnostic model mentioned above.

Study Type

Observational

Enrollment (Estimated)

1500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Probability Sample

Study Population

Patients with suspected coronary artery disease who plan to undergo coronary angiography

Description

Inclusion Criteria:

  • Patients with suspected coronary artery disease
  • Patients plan to undergo coronary angiography

Exclusion Criteria:

  • Patients with aortic valve stenosis
  • Patients with aortic valve replacement surgery
  • Patients with hypertrophic cardiomyopathy
  • Patients with severe heart valve disease
  • Patients with severe arrhythmia
  • Patients with severe cardiomyopathy
  • Patients with severe congenital heart disease
  • The quality of ultrasound images is poor

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Different coronary angiography results
Time Frame: Coronary angiography examination within 2-3 days after admission
The degree of coronary artery stenosis
Coronary angiography examination within 2-3 days after admission

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Beijing Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 11, 2024

Primary Completion (Estimated)

March 11, 2026

Study Completion (Estimated)

May 11, 2026

Study Registration Dates

First Submitted

March 11, 2024

First Submitted That Met QC Criteria

March 11, 2024

First Posted (Actual)

March 18, 2024

Study Record Updates

Last Update Posted (Actual)

November 21, 2025

Last Update Submitted That Met QC Criteria

November 18, 2025

Last Verified

November 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • BeijingH-WF

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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