Prospective Evaluation of AI-ECG for SHD Detection

Launched by IMPERIAL COLLEGE LONDON · Jul 4, 2025

Keywords

ClinConnect Summary

This clinical trial is studying whether a type of computer technology called artificial intelligence (AI) can help find heart problems early by looking at a common heart test called an electrocardiogram (ECG). The ECG records the heart’s electrical activity and can be done using standard machines or even wearable devices like smartwatches. The researchers want to see if AI can accurately detect conditions such as heart valve issues, high blood pressure in the lungs, and different types of heart failure before these problems are formally diagnosed. This could offer a simple, low-cost, and non-invasive way to check heart health and possibly catch issues sooner.

Adults aged 18 to 90 who do not already have a diagnosis of heart failure, lung-related high blood pressure, or valve disease may be eligible to join. Participants will provide ECG recordings, which the AI will analyze to see if it correctly identifies any hidden heart problems. Importantly, the AI results won’t be used to guide treatment during the study and won’t be shared with doctors, so care won’t be affected. This trial is about testing how well the AI works in a real-world setting, with the hope it could help improve early detection of heart disease in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients aged 18-90 years
• • No prior formal diagnosis of HF (including systolic and diastolic dysfunction), PH, or VHD
• • Ability to provide informed consent
• Exclusion Criteria:
• • Severe arrhythmia or unstable cardiovascular disease
• • Prior formal diagnosis of HF (including systolic and diastolic dysfunction), PH, or VHD
• • Cardiac implantable electronic device in-situ, including a permanent pacemaker or implantable cardioverter defibrillator
• • Involvement in current research or recent involvement in any research prior to recruitment