Using AI to detect coronary artery calcium for better heart disease prevention

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This trial aims to evaluate whether informing clinicians about the presence and quantity of coronary artery calcifications (CAC) through an AI platform can lead to improved preventive care for patients at risk of cardiovascular disease. The study will utilize a cloud-based AI system that analyzes non-contrast chest CT scans to assess CAC levels. By providing this information, the trial seeks to encourage the initiation or intensification of preventive therapies among eligible patients. It is a multicenter randomized trial involving Brigham and Women's Hospital and other locations.

Why it matters

Who can join: the full rules

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

Where it's running

• Brigham and Women's Hospital
  Boston, Massachusetts, United States Recruiting

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.