artificial intelligence (AI)
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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. -
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. -
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. -
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. -
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). -
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). -
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.