VIDEO: Use of AI in predicting complications, outcomes in diabetes care
SAN DIEGO — In this video exclusive, David C. Klonoff, MD, FACP, FRCP (Edin), Fellow AIMBE, discusses the potential for data and AI to improve diabetes care.
Klonoff is clinical professor of medicine at the University of California San Francisco and medical director of the Dorothy L. and James E. Frank Diabetes Research Institute of Mills-Peninsula Medical Center. Klonoff describes using AI in diabetes to predict complications and outcomes.
“Artificial intelligence is going to help people with diabetes a lot,” Klonoff told Healio. “It’s going to find ways of taking data that we’re not used to assembling and putting together in intelligent ways. When we do that, we’ll be able to make better diagnoses, better predictions and select better treatments.”
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