Taking an interest in electronic message threads between surgical patients and their health care teams, a research group at Vanderbilt University Medical Center has tested how well certain commonly used machine learning algorithms can classify such exchanges according to their clinical decision-making complexity.

A new algorithm for artificial intelligence-assisted calcium scoring can accurately determine cardiovascular risk across a range of CT scans and in a racially diverse population.

Investigators will use computational methods to shed light on suicidal ideation and its relationship to attempted suicide, predict suicidal ideation and suicide attempt using routine electronic health records (EHRs) and explore the genetic underpinnings of both.

The current explosion of investment and development in health care AI is happening without an underpinning of consensus of responsible, transparent deployment, which potentially constrains its potential.

Vanderbilt’s Colin Walsh, MD, MA, left, Bennett Landman, PhD, and Bradley Malin, PhD, recently discussed how artificial intelligence is transforming patient care during their Cutting Edge Discovery Lecture.