At neurology clinics the system was used to flag 8% of arriving patients as having relatively high risk for suicide attempt in the next 30 days.

Sponsored by the Department of Biomedical Informatics, the symposium showcased the work of the department’s center for AI Discovery and Vigilance to Accelerate Innovation and Clinical Excellence.

Novak is an anthropologist specializing in the cultural intersection of technology with everyday life and work. Her projects currently focus on the implementation of artificial intelligence in medicine.

Evaluating how genetic risk interacts with environmental risk factors such as sexual trauma is important for understanding how mental illness develops and identifying high-risk groups for early intervention.

Horvitz, an elected member of the National Academy of Engineering, is a pioneer in the applications of machine learning, AI and decision science.

The project seeks to reduce the time for clinical chart abstraction by 90% while maintaining human-level accuracy.

V-CARES will focus on detecting hallucinations, omissions and misaligned values in AI-generated responses on critical health topics.