artificial intelligence (AI)

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.”

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.

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.

Vanderbilt’s Ken Holroyd, MD, MBA, lead of the Brock Family Center for Applied Innovation, speaks during the recent Healthcare Artificial Intelligence Sessions. (photo by Erin O. Smith)

Academics, entrepreneurs gather for first annual AI event

Artificial intelligence experts from industry and from Vanderbilt gathered on the VUMC campus recently for the first annual Healthcare Artificial Intelligence Sessions, or HAIS 23, sponsored by the Brock Family Center.

Artificial intelligence innovator John Jumper to deliver Aug. 30 Apex Lecture

John Jumper, who led the development of AlphaFold, an artificial intelligence system that can predict the three-dimensional structure of proteins, will give the next Apex Lecture on Wednesday, Aug. 30.

nference and Vanderbilt University Medical Center sign agreement to advance real-world evidence generation in complex disease populations

nference, a science-first software company transforming healthcare by making biomedical data computable, and Vanderbilt University Medical Center have announced a strategic agreement aimed at advancing research through the deployment of nference’s state-of-the-art federated clinical analytics platform. By leveraging the power of federated AI and machine learning, this collaboration will expand clinical insights in key research areas.

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