artificial intelligence (AI)

(iStock image)
April 25, 2024

AI shows promise for clinical phenotyping

Researchers at Vanderbilt University Medical Center have demonstrated the potential for large language models like ChatGPT to help generate electronic health record phenotyping algorithms, a critical but time-consuming task in observational health research.

By Paul Govern
April 22, 2024

AI to doctors: Beat that! 

Artificial intelligence programs outperformed doctors at answering typical patient questions — suggesting they could be used to write first-draft responses and help speed doctors’ work.

By Paul Govern
March 11, 2024

VUMC joins new consortium of health care leaders in formation of Trustworthy & Responsible AI Network (TRAIN)

At the HIMSS 2024 Global Health Conference, Vanderbilt University Medical Center (VUMC) and other leading academic medical centers joined as Microsoft announced the formation of a new consortium, the Trustworthy & Responsible AI Network (TRAIN).

By Kylie Avery
March 6, 2024

New center focused on advancing health AI to launch at VUMC

The Department of Biomedical Informatics at Vanderbilt University Medical Center has launched its groundbreaking center for health Artificial Intelligence (AI) – ADVANCE (AI Discovery and Vigilance to Accelerate Innovation and Clinical Excellence).

By Mia Garchitorena-Scancarelli
March 5, 2024

GE HealthCare & Vanderbilt publish data on AI models predicting patient response to immunotherapy

The results from a research partnership between GE HealthCare and Vanderbilt University Medical Center utilizing artificial intelligence to enable safer and more precise cancer immunotherapies show that the models they developed predict patient responses with 70% to 80% accuracy.

By Tom Wilemon
February 26, 2024

Study finds a role for AI in drug repurposing pipeline

Vanderbilt researchers are using artificial intelligence to search for existing drugs used for other problems that might help patients Alzheimer’s Disease.

By Paul Govern
February 22, 2024

AI aids efforts to cut nuisance alerts for health care teams: study

A new study from Vanderbilt University Medical Center demonstrates the promise of artificial intelligence to help refine and target the myriad computerized alerts intended to assist doctors and other team members in day-to-day clinical decision-making.
By Paul Govern
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.
By VUMC News and Communications
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.
By Mia Garchitorena-Scancarelli
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.
By Bill Snyder
November 8, 2023

Vanderbilt and Duke awarded Moore Foundation Grant to improve oversight of AI technology in health care systems

Vanderbilt University Medical Center and Duke University School of Medicine have been awarded a $1.25 million grant from the Gordon and Betty Moore Foundation for the project “Measuring Artificial Intelligence (AI) Maturity in Healthcare Organizations.”
By Mia Garchitorena-Scancarelli
October 18, 2023

VUMC’s Wei Kelly Wu, Siru Liu named 2023 Stat Wunderkinds

Vanderbilt's Wei Kelly Wu, MD, and Siru Liu, PhD, have been named 2023 Stat Wunderkinds.
By Paul Govern
October 17, 2023

AI predicts blood clot risk in hospitalized children: VUMC study

An artificial intelligence tool developed at Vanderbilt accurately identified pediatric patients at high risk for blood clots in a clinical trial, with no difference in outcomes compared to a control group.
By Bill Snyder
1 2 3 4