artificial intelligence Archive — Page 2 of 3

Green sugar cane field with vehicle tracks in the foreground and a cluster of high-rise buildings on the horizon beneath a cloudy sky.
April 11, 2023

COVID on Twitter: town vs. country

A natural language processing analysis of 407 million tweets from May 2020 to January 2022 captures the rural-urban divide regarding COVID-19.

Futuristic blue digital illustration combining a DNA double helix with glowing circuit-board patterns, binary-style numbers, and vertical data streams.
February 2, 2023

Machine learning aids injury prevention in cardiac cath labs

White side-profile silhouette of a human head containing a colorful abstract tangle with a large question mark, against a blue background covered in looping lines.
January 23, 2023

Machine learning predicts delirium

Using machine learning based on electronic health records of ICU patients predicted new-onset delirium with 82% sensitivity, Vanderbilt researchers found.

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.