How will artificial intelligence affect health care?Feb 21, 2019
The explosion of big data promises potential breakthroughs in disease treatments, but, just as in the development of new drugs, scientists and clinicians must exercise caution in how they apply algorithms and other technologies, according to a CU Anschutz panel of experts.
The discussion on “What’s on the Horizon of Artificial Intelligence (AI) and Health Care?” kicked off this year’s series of Transforming Health Care lectures at the CU Anschutz Medical Campus. About 80 people attended the session in Krugman Conference Hall on Wednesday. The panel was made up of Lawrence Hunter, PhD, director of the Computational Bioscience Program in the CU School of Medicine (SOM); Foster Goss, DO, clinical informaticist and assistant professor of Emergency Medicine; and Clay Smith, MD, director of the Blood Disorders and Cell Therapies Center at University of Colorado Hospital and associate chief, Division of Hematology, SOM.
Hunter outlined examples of how machine-learning systems are used in health care. The outcomes show mixed results: while some systems delivered illuminating data that helped clinicians, other instances revealed a machine’s inability to understand the nuances involved in, for example, a basic blood draw. “The goal is not to replace doctors, but to augment them — help them do a better job and spend less time doing boring stuff and more time on doing the things that really matter to patients,” he said.
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