Department of Biomedical Informatics Archive — Page 8 of 26

Abstract blue illustration of a glowing smartphone surrounded by interconnected network nodes and lines, with a faint world map in the background.
January 5, 2024

Artificial intelligence advances work in VUMC’s clinical and research settings

Vanderbilt University Medical Center physicians and researchers are applying artificial intelligence in innovative ways to advance clinical care and scientific understanding of these cutting-edge tools.

Abstract 3D illustration of computer programming code and glowing circuit-like interface graphics in blue, teal, pink, and orange.
January 2, 2024

Team uses COVID-19 to test automated acute disease profiling

An automated solution for creating phenotyping algorithms, PheNorm, worked well to identify symptomatic COVID-19 cases in electronic health records, suggesting that automation could speed high-throughput phenotyping of acute disease.

Stylized blue profile of a human face formed from a wireframe grid, merging with glowing circuit-board traces and digital data patterns.
December 21, 2023

Vanderbilt’s Embí and team awarded AIM-HI grant to improve use and monitoring of AI in health care

A Vanderbilt team has received funding to pursue research projects deploying artificial intelligence (AI) and machine learning (ML) algorithms to enhance diagnostic decision-making in health care.

Stylized black silhouette of a seated, curled figure against a bright orange background, with several gold spiral motifs inside the head.
November 17, 2023

Study validates use of VUMC suicide risk model in Navy primary care

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.

Stylized close-up of colorful molecular DNA double helices against a blue background.
November 15, 2023

Study finds many patients don’t seek more health services after receiving genetic screening results

A study by Vanderbilt researchers found that more than half of the patients who receive the results of genetic tests might not be impelled to seek more services than they’re already receiving.

Portrait of a gray-haired man wearing a white medical coat and patterned tie.
November 14, 2023

Future of AI in medicine is bright, but rigorous validation needed

Artificial intelligence has the potential to transform the practice of medicine but, like any other new tool or method, it needs to be rigorously validated before it is widely applied, cautions Vanderbilt’s Dan Roden, MD.