Department of Biomedical Informatics

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.

Vanderbilt’s Embí and team awarded AIM-HI grant to improve use and monitoring of AI in health care

A Vanderbilt team has received funding to pursue research projects deploying artificial intelligence (AI) and machine learning (ML) algorithms to enhance diagnostic decision-making in health care.

Study validates use of VUMC suicide risk model in Navy primary care

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.

Study finds many patients don’t seek more health services after receiving genetic screening results

A study by Vanderbilt researchers found that more than half of the patients who receive the results of genetic tests might not be impelled to seek more services than they’re already receiving.

Future of AI in medicine is bright, but rigorous validation needed

Artificial intelligence has the potential to transform the practice of medicine but, like any other new tool or method, it needs to be rigorously validated before it is widely applied, cautions Vanderbilt’s Dan Roden, MD.

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.”

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