artificial intelligence (AI)

From left, Bradley Malin, PhD, Microsoft chief scientific officer Eric Horvitz, MD, PhD, and Peter Embí, MD, MS, addressed last week’s ADVANCE symposium on health care AI. (photo by Donn Jones)
November 12, 2024

Patient voices critical to success of artificial intelligence in health care

Sponsored by the Department of Biomedical Informatics, the symposium showcased the work of the department’s center for AI Discovery and Vigilance to Accelerate Innovation and Clinical Excellence.

By Bill Snyder
Laurie Novak, PhD, MHSA
November 8, 2024

Vanderbilt’s Laurie Novak elected fellow of ACMI

Novak is an anthropologist specializing in the cultural intersection of technology with everyday life and work. Her projects currently focus on the implementation of artificial intelligence in medicine.

By Mia Garchitorena-Scancarelli
October 30, 2024

Genetic risk, sexual trauma associated with mental illness: study

Evaluating how genetic risk interacts with environmental risk factors such as sexual trauma is important for understanding how mental illness develops and identifying high-risk groups for early intervention.

By Leigh MacMillan
Eric Horvitz, MD, PhD
October 28, 2024

Microsoft’s Eric Horvitz set for next Discovery Lecture

Horvitz, an elected member of the National Academy of Engineering, is a pioneer in the applications of machine learning, AI and decision science.

By Bill Snyder
(iStock image)
September 30, 2024

VUMC researchers awarded $1.9 million for AI-driven cancer data extraction

The project seeks to reduce the time for clinical chart abstraction by 90% while maintaining human-level accuracy.

By Paul Govern
September 23, 2024

New evaluation system to render AI chatbots safe, empathetic

V-CARES will focus on detecting hallucinations, omissions and misaligned values in AI-generated responses on critical health topics.

By Paul Govern
September 11, 2024

Becker’s names VUMC a leading health system in AI

VUMC was recognized thanks to the leadership of Vanderbilt’s Department of Biomedical Informatics and its new AI Discovery & Vigilance to Accelerate Innovation & Clinical Excellence.
By Mia Garchitorena
July 18, 2024

AI could help patients ask better questions of their care teams 

AI has proven better than doctors at drafting responses to written questions from patients. A new study suggests even greater advantages in using AI to help patients write more effective messages to their care teams.
By Paul Govern
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
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