artificial intelligence (AI) Archive — Page 6 of 7

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 21, 2022

Suicide notes

Natural language processing of notes in electronic health records can identify suicidal behavior and could be used to directly improve real-time risk prediction algorithms.

Benoit Dawant, PhD, left, Erik Tkaczyk, MD, PhD, and colleagues have developed a new way to measure human monkeypox severity.
September 22, 2022

Vanderbilt study uses AI to speed mpox drug trials

A machine learning algorithm developed by researchers at Vanderbilt performs as well as humans at identifying skin lesions in clinical photographs of people with monkeypox.

Futuristic digital illustration of a human head and shoulders formed from glowing blue and pink pixels, overlaid with a microchip, circuit patterns, binary digits, and waveform graphics.
September 22, 2022

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.

VUMC NEWS logo in white lettering inside a cyan and yellow outlined square on a blue gradient background.
May 13, 2022

Suicide prediction method combines AI and face-to-face screening

New Vanderbilt research is pointing to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults.

Stylized polygonal human profile facing a network of connected hexagons containing healthcare symbols, including a cross, heart monitor, eye, syringe, pills, lungs, thermometer, stethoscope, laboratory flask, and hospital symbol, on a purple-to-blue digital background.
April 7, 2022

Computer eyeballs graft-vs-host disease

A machine learning algorithm identified areas of skin affected by chronic graft-versus-host disease on par with clinicians, opening the door to streamlining and standardizing this measure of patient response to therapy.

Futuristic blue digital illustration combining a DNA double helix with glowing circuit-board patterns, binary-style numbers, and vertical data streams.
December 16, 2021

AI used to identify patients at risk for lung cancer