machine learning Archive — Page 2 of 2

Interventions such as daily spontaneous waking trials can help patients avoid injuries associated with intensive care.
September 30, 2021

AI predicts next-day delirium or coma in ICU patients

A team at Vanderbilt University Medical Center used machine learning to predict the likelihood of next-day brain function status changes in critical care patients.

Magnifying glass overlaid on blue financial charts, bar graphs, line graphs, statistics, and digital data icons.
December 10, 2020

Model students: improving clinical decision-making

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

Portrait of Zhijun Yin, PhD, wearing a gray collared shirt against a neutral background.
May 14, 2020

Yin receives early investigator MERIT Award from NCI

Zhijun Yin, PhD, assistant professor of Biomedical Informatics at Vanderbilt University Medical Center, has received the National Cancer Institute’s Method to Extend Research in Time Award (or MERIT Award) for Early Stage Investigators.

Stylized blue profile of a human face formed from a wireframe grid, merging with glowing circuit-board traces and digital data patterns.
December 18, 2019

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.

Healthcare professional in blue scrubs holding a tablet, overlaid with glowing digital medical interface graphics including a heart-monitor waveform, hearts, lungs, and connected data points.
November 4, 2019

How to fake a medical record

Simulated electronic health records could avoid patient privacy risks and help speed discovery.

October 7, 2019

AI maps routes to heart disease

Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease.