Scientists call for rules on evaluating predictive artificial intelligence in medicine

The FDA tells Axios it is working on developing a framework to handle advances in AI and medicine, as pointed out by Commissioner Scott Gottlieb last year. Meanwhile, Ravi B. Parikh, co-author of the paper and a fellow at University of Pennsylvania's School of Medicine, tells Axios that the FDA needs to set standards to evaluate the "staggering" pace of AI development. Why it matters: Advanced algorithms present both opportunities and challenges, says Amol S. Navathe, co-author and assistant professor at Penn's School of Medicine. Details: The authors list the following as recommended standards... Outside comment: Eric Topol, founder and director of Scripps Research Translational Institute, who was not part of this paper, says the timing of these proposed standards is "very smart" before advanced algorithms are placed into too many devices. What's next: The scientists hope the FDA considers integrating the proposed standards alongside its current pre-certification program under the Digital Health Innovation Act to study clinical outcomes of AI-based tools, Ravi says.