AI spots hidden heart risk in routine scans – 120,000 patients join study
NCT ID NCT07355894
First seen Jan 24, 2026 · Last updated May 16, 2026 · Updated 20 times
Summary
This study uses artificial intelligence to find calcium buildup in heart arteries on chest CT scans that people already had for other reasons. Researchers will notify patients and their doctors about the finding to encourage better cholesterol treatment. The goal is to see if this approach helps lower cholesterol and improve heart health in 120,000 adults with known heart disease or significant calcium buildup.
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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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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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