Plain-English translation of NCT07057466 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers at Imperial College London are testing whether artificial intelligence (AI) can analyze routine heart rhythm tests—called electrocardiograms or ECGs—to detect hidden heart problems. The study will collect ECG data from both traditional heart monitoring machines and portable wearable devices like smartwatches, and use AI to see if it can spot conditions like heart weakness, valve problems, and high lung pressure. The AI's accuracy will be compared to blood tests that doctors currently use to diagnose heart disease.
Many people have serious heart disease without knowing it, which leads to hospital admissions and high healthcare costs. This study exists to find out if AI can analyze routine heart tests in a simple, low-cost way to catch these hidden heart problems early, making heart health monitoring easier for patients and doctors.
You likely qualify if…
You likely don't qualify if…
If you join this study, you will have heart rhythm tests (ECGs) taken as part of your routine clinical visit—either at a hospital appointment or using a wearable device at home. Some participants will also have a blood test to measure a heart-related marker. The AI researchers will analyze your ECG data to see if their computer models can detect heart problems, but this AI analysis will not affect your medical care or treatment decisions during the study.
AI-generated summary from trial data · Jul 4, 2026 · Not medical advice
United Kingdom