AI Detection of Incidental Coronary Artery Calcium to Enhance Cardiovascular Disease Prevention: A Multicenter Randomized Trial
Brigham and Women's Hospital
Summary
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.
Eligibility
- Age range
- 40–75 years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * Patients aged between 40-75 with prior chest CT within last 3 years Exclusion Criteria: * Prior coronary artery disease * Prior cancer * Other life-limiting condition
Interventions
- DeviceElectronic health record-based notification of Nanox.AI Coronary Artery Calcification Assessment
The intervention involves electronic health record, email, or letter notification about the presence of coronary artery calcification on chest CT and recommendation of preventive therapy. This is based on results of the automatic detection of coronary artery calcification from AI device (software).
Location
- Brigham and Women's HospitalBoston, Massachusetts