AI spots hidden heart risk in old scans, prompts better treatment

NCT ID NCT07355894

Not yet recruiting Disease control Sponsor: Stanford University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will test if using artificial intelligence to find calcium buildup in heart arteries from chest CT scans people already had can improve cholesterol treatment. Researchers will notify patients and their doctors about the finding, aiming to start or strengthen cholesterol-lowering medications. The study includes 120,000 adults with known heart disease or significant calcium buildup whose cholesterol is not well controlled. It is not a cure but a way to better manage heart disease and reduce future risk.

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Conditions

The condition(s) this trial relates to.

atherosclerosis atherosclerotic cardiovascular disease coronary atherosclerosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ATHEROSCLEROTIC CARDIOVASCULAR DISEASE (ASCVD) CORONARY ARTERY CALCIFICATION

Contacts and locations

Locations

Baylor Scott & White

Dallas, Texas, 95226, United States
Duke University Medical Center

Durham, North Carolina, 27710, United States
Kaiser Permanente Northern California

Pleasanton, California, 94588, United States
Stanford University

Stanford, California, 94305, United States
University of California, Los Angeles

Los Angeles, California, 90095, United States
Vanderbilt University Medical Center

Nashville, Tennessee, 37232, United States

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