AI spots hidden heart risk in old scans, aims to save thousands
NCT ID NCT07355894
First seen Jan 24, 2026 · Last updated May 01, 2026 · Updated 15 times
Summary
This study will test whether using artificial intelligence to find calcium buildup in heart arteries on old chest CT scans can help doctors and patients take action to lower cholesterol. About 120,000 adults with known heart disease or high calcium scores and poorly controlled cholesterol will be randomly assigned to get their results right away or after a 6-month delay. The goal is to see if early notification leads to more cholesterol-lowering medications and better heart health.
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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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Baylor Scott & White
Dallas, Texas, 95226, United States
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Duke University Medical Center
Durham, North Carolina, 27710, United States
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Kaiser Permanente Northern California
Pleasanton, California, 94588, United States
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Stanford University
Stanford, California, 94305, United States
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University of California, Los Angeles
Los Angeles, California, 90095, United States
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Vanderbilt University Medical Center
Nashville, Tennessee, 37232, United States
Conditions
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