This conversation is part of a series of interviews in which JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and expert guests explore issues surrounding the rapidly evolving intersection of artificial intelligence (AI) and medicine.
Can AI use real-world data to teach us something randomized clinical trials can’t? How can physicians collaborate with companies to develop AI tools that benefit patients? And is AI a democratizing force that can scale privileged medical care to broader patient populations?
The future is to learn from the data, says Atul Butte, MD, PhD (Video), a distinguished professor and director of the Baker Computational Health Sciences Institute at the University of California San Francisco (UCSF) and chief data scientist over the entire University of California Health System.
Dr. Atul Butte, a pediatric physician at UCSF and the chief data scientist for the University of California Health System, said AI tools can help pinpoint what other drugs or treatment are necessary for the countless cancer variations and mutations.