artificial intelligence (AI)

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.

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.

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.

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.

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.

AI used to identify patients at risk for lung cancer

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