AI Opportunistic Coronary Calcium Screening at Veterans Affairs Hospitals.

Background: Coronary artery calcium (CAC) is highly predictive of cardiovascular events. Although millions of chest computed tomography (CT) scans are performed annually in the United States, CAC is not routinely quantified from scans done for noncardiac purposes.

Methods: We developed a deep learning algorithm, AI-CAC, using 446 expert segmentations to automatically quantify CAC on noncontrast, nongated CT scans.

Drug-Gene Interactions and Clinical Outcomes After Vascular Surgery in the Million Veteran Program.

Importance: Pharmacogenetics can improve medication-related outcomes by optimizing efficacy and minimizing adverse effects. It is unknown whether the presence of drug-gene interactions (DGIs) at the time of surgery results in adverse outcomes in the postoperative setting.

Objective: To determine the association of active DGIs on postsurgical outcomes following vascular surgery procedures.