Tech & Health

April 26, 2024

Vanderbilt’s Innovation Ambassadors help their colleagues change the world

Within the intellectual powerhouse that is Vanderbilt University and Vanderbilt University Medical Center thrives a group of doctors, engineers, computer scientists and others who also are visionaries, inventors and entrepreneurs. 

By Bill Snyder
(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
Illustration of clinicians and biostatisticians working collaboratively on research
April 16, 2024

Unsung Zeros: How biostatistics advances personalized health in the era of smart data

VUMC is acrawl with statistical design, bias detection and analysis that’s recognized with $532 million in federal and nonfederal research support.

By Paul Govern and Bill Snyder
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
March 4, 2024

Biomedical Informatics to launch new “AI Discovery & Vigilance to Accelerate Innovation & Clinical Excellence” (ADVANCE) Center, March 8

By Mia Garchitorena-Scancarelli
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
February 8, 2024

New algorithms show promise for predicting bipolar disorder risk

In a new study across three major U.S. health care systems, researchers developed and tested algorithms to predict who will develop bipolar disorder.
By Paul Govern
February 2, 2024

Self check-in, centralized welcome desks prove beneficial to both staff and patients

Vanderbilt Health adult ambulatory clinics began providing self check-in for appointments in late summer 2023, and the process has proven beneficial to both patients and staff.  
By Jill Clendening
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.
By Paul Govern
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