AI spots hidden heart valve risk in routine ECG and x-rays
NCT ID NCT07573852
First seen May 07, 2026 · Last updated Jun 20, 2026 · Updated 7 times
Summary
This completed study used artificial intelligence to analyze electrocardiograms (ECGs) and chest X-rays from over 116,000 adults. The goal was to see if combining these two common tests could predict which patients would develop moderate or severe heart valve regurgitation. The researchers hope this approach could help doctors identify high-risk patients earlier and guide more targeted monitoring.
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Zhongshan Hospital
Shanghai, Shanghai Municipality, 200032, China
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this AI model could help doctors identify patients at risk of worsening heart valve disease earlier, using routine tests like ECG and chest X-rays.
What could go wrong
This is a retrospective study, not a clinical trial testing a treatment. The AI model may not work as well in real-world settings or different patient groups.
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.