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NCT06235112: AI INFORM

AI Detection of Incidental Coronary Artery Calcium to Enhance Cardiovascular Disease Prevention

Recruiting now NA Last updated 23 January 2026
What this trial tests

NA trial testing Electronic health record-based notification of Nanox.AI Coronary Artery Calcification Assessment in Coronary Artery Disease in 1,500 participants. Currently enrolling.

Timeline
31 July 2024
Primary endpoint
1 June 2027
1 December 2027

Quick facts

Lead sponsorBrigham and Women's Hospital
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingsingle
Primary purposeprevention
Enrollment1,500
Start date31 July 2024
Primary completion1 June 2027
Estimated completion1 December 2027
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Brigham and Women's Hospital

Who can join

Adults 40 to 75, any sex, with Coronary Artery Disease. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

AI INFORM is a multicenter randomized trial that will test the hypothesis that providing clinicians information on the presence and amount of coronary artery calcifications (CAC), will result in initiation or intensification of preventive therapies. The study will use a cloud-based artificial intelligence (AI) platform (Nanox.AI) that can analyze non contrast chest CT and estimate the amount of CAC.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Coronary Artery Disease

Currently open trials in the same condition.

Other Brigham and Women's Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06235112.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing