Artificial Intelligence in Medicine Alliance (RPA Pilot / Seed Project)

Artificial intelligence (AI) and machine learning (ML) are transforming biomedical research and health care delivery, enhancing clinical care, and speeding scientific discovery. The recent coalescence of big data, accelerated computing, and deep learning has yielded remarkable results across research discovery and translational medicine. AI has emerged as a promising tool to improve patient outcomes and reduce cost by providing insights from clinical data across medical domains, including cancer, neuroscience, aging, substance use disorder, etc. To develop AI methods for transdisciplinary research in medicine, investigators need programmatic access to data, methods to correlate records, and expert knowledge to curate the data across domain-specific repositories. The Artificial Intelligence in Medicine (AIM) alliance will advance data-driven science across health-centered research priority areas (RPAs) and potentially open new areas of transdisciplinary research inquiry on AI application in medicine. Our initial work will focus on radiology, pathology, and laboratory data to support UK’s strategic RPAs. We also have formal collaborations with the Markey Cancer Center, the Sanders-Brown Center on Aging, and the Institute for Biomedical Informatics. The AIM leadership team includes Jeffery Talbert, PhD, division chief for biomedical informatics and director of the Institute for Biomedical Informatics; Cody Bumgardner, PhD, of the department of pathology and laboratory medicine, with a joint appointment in computer science; and Xiaoqin Jennifer Wang, MD, MS, of the department of radiology and the Markey Cancer Center.