machine learning

New algorithms show promise for predicting bipolar disorder risk

In a new study across three major U.S. health care systems, researchers developed and tested algorithms to predict who will develop bipolar disorder.

Project aims to improve ear disease diagnoses with objective machine learning techniques

A new project, funded by the National Institutes of Health (NIH), National Institute on Deafness and Other Communication Disorders (NIDCD) and led by Aaron Moberly, MD, and Metin Gurcan, PhD, professor and director of the Center for Biomedical Informatics and the Clinical Image Analysis Lab at Wake Forest University School of Medicine, aims to develop machine learning applications to analyze eardrum videos collected with a digital otoscope.

VUMC to lead AI ethics core for NIH project

Vanderbilt researchers will lead and comprise the greater part of an artificial intelligence research ethics core for a National Institutes of Health (NIH) program called Bridge to Artificial Intelligence, or Bridge2AI.