NCT06695273Not yet recruiting
Using Retinal Photograph Based AI to Predict Incident Coronary Heart Disease
Source: ClinicalTrials.gov · Last updated 19 Nov 2024 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
To determine whether an integrated retinal AI decision support can improve predictive accuracy of coronary heart disease (CHD), the investigators are conducting a randomized controlled study of AI guided prediction of CHD compared to clinical prediction by physicians (e.g., usingPCEs), both using clinical intuition as baseline.
- Status (registry)
- Not yet recruiting
- Study type
- Interventional
- Enrollment
- 1570 (estimated)
- First submitted
- 16 Nov 2024
- Start date
- Jan 2025
- Primary completion date
- Apr 2025
- Lead sponsor
- Tsinghua University
- Diseases
- Coronary artery disease
- NCT number
- NCT06695273
What you commit to
- Study type: Interventional
- Planned participants: 1570
- From Jan 2025 to the primary completion date, Apr 2025
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Severe lung disease and cancer or surgery patients
- Statin user or pre-existing cardiovascular disease
Other
- Individuals with severe liver and kidney dysfunction and electrolyte imbalance
Who the study is looking for
- Individuals without uncontrolled vascular risk factors
- Age range: 40-75 years old
- Can accept and cooperate with the examination and potential follow-up work after being selected for clinical trials
Age in the registry: 40 years to 75 years · Sex: All · Accepts healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.