AI to predict heart attacks in diabetes patients: qatar study
NCT ID NCT07515807
First seen Apr 10, 2026 · Last updated Jun 20, 2026 · Updated 8 times
Summary
This study will look at health records of 10,000 patients in Qatar who were hospitalized for heart problems and have diabetes or prediabetes. Researchers will use artificial intelligence to find patterns that predict future heart attacks, strokes, or death. The goal is to create better risk prediction tools for this high-risk group.
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This is a summary of
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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Hamad Medical Corporation
Doha, Qatar
Contact Phone: •••-•••-•••• Email: •••••@•••••
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 could lead to better risk prediction tools for heart attacks and strokes in people with diabetes, helping doctors intervene earlier.
What could go wrong
This is an observational study using existing data, so it cannot prove cause and effect. The AI models may not work well for people outside Qatar or other Arab populations.
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.