Chao Yan Archive — Page 1 of 1

June 23, 2026

New framework renders AI trustworthy for cancer subtyping

As trustworthiness takes center stage in medical AI, a new paper in Nature Biomedical Engineering describes a solution for trustworthy AI cancer subtyping.

By Paul Govern
(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
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
October 10, 2023

Study tracks clinical team engagement with health records by patient race/ethnicity

A review of electronic health record user access logs found that EHRs of adult inpatients from minority racial and ethnic populations on average received lower engagement from health care teams than the records of white adult inpatients.

By Paul Govern
November 16, 2021

AI predicts 24-hour hospital discharge

Vanderbilt researchers used a machine learning algorithm and data from more than 26,000 hospital stays to predict who would and would not be discharged over the next 24 hours.

By Paul Govern
Interventions such as daily spontaneous waking trials can help patients avoid injuries associated with intensive care.
September 30, 2021

AI predicts next-day delirium or coma in ICU patients

A team at Vanderbilt University Medical Center used machine learning to predict the likelihood of next-day brain function status changes in critical care patients.

By Paul Govern