Coronary Artery DiseaseNCT06314295
Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods
An observational study of Coronary Artery Disease, run by Beijing Hospital at 1 site in China.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 90 years
- Conditions the study is for
- Coronary Artery Disease
- How many people
- 1,500 participants
- Where
- 1 siteChina
- Study dates
- 11 Mar 2024to 11 May 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 90 years
- All sexes
- Adult, Older adult
Study population: Patients with suspected coronary artery disease who plan to undergo coronary angiography
Who may be able to join
- Patients with suspected coronary artery disease
- Patients plan to undergo coronary angiography
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site, 1 recruiting
- Recruiting
Beijing Hospital
Beijing
Fang Wang, Dr, bjh_wangfang@163.com
About this study
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.
Read the detailed description
- 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.
- Conditions
- Coronary Artery Disease
- Medical subject headings
- Coronary Artery Disease
What is being measured
The primary outcome is the main question the study is designed to answer.
Different coronary angiography results
The degree of coronary artery stenosis
Measured: Coronary angiography examination within 2-3 days after admission
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Mar 2024
- Study start11 Mar 2024
- Primary completion11 Mar 2026 (estimated)
- Study completion11 May 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Coronary Artery DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 1,500 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Beijing Hospital
- Sponsor type
- Other government
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06314295
- Sponsor's protocol ID
- BeijingH-WF
- Status last verified
- Nov 2025
- First submitted
- 11 Mar 2024
- Last updated
- 21 Nov 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 21 Nov 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods
- ClinicalTrials.gov ID
- NCT06314295
- Acronym / sponsor ID
- BeijingH-WF
- Conditions
- Coronary Artery Disease
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 1,500 participants (estimated)
- Lead sponsor
- Beijing HospitalOther government
- Study start
- 11 Mar 2024 (actual)
- Primary completion
- 11 Mar 2026 (estimated)
- Study completion
- 11 May 2026 (estimated)
- First posted
- 18 Mar 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
- 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 design
- Observational model
- Other
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 to 90 years
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- Patients with suspected coronary artery disease who plan to undergo coronary angiography
Key inclusion criteria (2 listed)
- Patients with suspected coronary artery disease
- Patients plan to undergo coronary angiography
Key exclusion criteria (8 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Different coronary angiography results
Time frame: Coronary angiography examination within 2-3 days after admission
The degree of coronary artery stenosis
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Nov 2025.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Coronary Artery Disease, run by Beijing Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 21 Nov 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Each site lists its own contact: choose the nearest one under Trial locations. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Different coronary angiography results (time frame: Coronary angiography examination within 2-3 days after admission). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Nov 2025.