AI-Powered ECGs could spot silent heart disease before It's too late
NCT ID NCT07057466
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether artificial intelligence (AI) can analyze routine heart tests (ECGs) to find hidden heart problems like weak heart muscle, valve issues, or high lung pressure. About 590 adults without a prior heart disease diagnosis will have ECGs taken with standard machines and wearable devices like smartwatches. The AI's accuracy will be checked against other tests, but its results won't be used for treatment decisions during the study. The goal is to see if this low-cost, non-invasive approach can help catch heart disease early.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Chelsea and Westminster Hospital
RECRUITINGLondon, United Kingdom
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Hammersmith Hospital
RECRUITINGLondon, United Kingdom
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Southmead Hospital
RECRUITINGBristol, United Kingdom
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St Mary's Hospital
RECRUITINGLondon, United Kingdom
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West Middlesex University Hospital
RECRUITINGLondon, United Kingdom
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Other studies related to the condition(s) this trial covers.