Novel treatments for fake patients

A customizable framework uses simulated patients to distinguish effects of a new treatment from “learning effects” for clinicians; it should help identify training opportunities and hasten treatment improvements.

Machine learning aids injury prevention in cardiac cath labs

Model students: improving clinical decision-making

Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.

Clinical investigation society lauds Vanderbilt scientists

Five faculty members of Vanderbilt University School of Medicine are among 80 physician-scientists who will be inducted this year into the American Society for Clinical Investigation (ASCI), an elite honor society of physician-scientists from the upper ranks of academic medicine and industry. They are:

AI’s Future Potential Hinges on Consensus: NAM Report

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.

VUMC assumes new role in FDA safety monitoring

Vanderbilt University Medical Center is assuming an expanded role in U.S. Food and Drug Administration (FDA) medical product safety monitoring.