Knowledge@Wharton: Can Algorithms Diagnose Disease Better Than Doctors?

Artificial intelligence has major implications for medicine. Proponents say the technology holds great potential in predicting drug interaction, infection risk factors — even in cancer diagnoses. But how can scientists use AI to make differences in patient outcomes? Two University of Pennsylvania researchers offer a plan that focuses on adherence to high standards and strong regulation. Ravi Parikh is a fellow in hematology and oncology at the Perelman School of Medicine, and Amol Navathe is a senior fellow at the Leonard Davis Institute of Health Economics and Wharton professor of health policy and medicine. They spoke on the Knowledge@Wharton radio show on SiriusXM about their paper titled “Regulation of Predictive Analytics in Medicine.” (Listen to the podcast at the top of this page.) The paper, written with co-author Ziad Obermeyer, acting professor of health policy and management at the University of California, Berkeley, was published in the journal Science. Read more at Knowledge@Wharton