AI spots hidden heart valve risks in routine scans
NCT ID NCT07573852
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
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 routine tests could predict which patients would develop moderate or severe heart valve regurgitation. The researchers hope this approach could help doctors decide who needs closer monitoring or earlier treatment.
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, meaning it looks back at existing data. It does not test a new treatment, and the AI model may not work as well in real-world settings or different patient groups.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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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Zhongshan Hospital
Shanghai, Shanghai Municipality, 200032, China
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