Cedars-Sinai investigators who previously developed an imaging tool that used artificial intelligence to predict pancreatic cancer are now working to adapt that tool specifically for Black patients, who have disproportionately high rates of the disease.
Artificial intelligence is rapidly transforming biomedical research and healthcare. Large language models, foundation models, and AI agents are increasingly being deployed to assist with data interpretation, literature review, clinical decision support, and translational research.
