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

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.

Conditions

Coronary Artery Disease

Study Overview

Study Details

Study overview

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.

AI Detection of Incidental Coronary Artery Calcium to Enhance Cardiovascular Disease Prevention: A Multicenter Randomized Trial

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

Condition
Coronary Artery Disease
Intervention / Treatment

-

Contacts and Locations

Boston

Brigham and Women's Hospital, Boston, Massachusetts, United States, 02445

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * Patients aged between 40-75 with prior chest CT within last 3 years
  • * Prior coronary artery disease
  • * Prior cancer
  • * Other life-limiting condition

Ages Eligible for Study

40 Years to 75 Years

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

Brigham and Women's Hospital,

Study Record Dates

2026-07-01