Voices of Healthcare · #7
Pranav Rajpurkar
Associate Professor of Biomedical Informatics
Harvard Medical School
His lab's imaging benchmarks and clinician-AI studies still define how medical AI papers get judged for reliability.
Pranav Rajpurkar is an associate professor of biomedical informatics at Harvard Medical School. His research builds AI systems for clinical decision making across imaging, language, and structured health data, with a focus on whether those systems actually help clinicians.
Work from his Stanford years and current Harvard lab, including CheXNet-era imaging results and later clinician-AI collaboration studies, is widely cited by both academic groups and commercial imaging AI vendors. He also co-authors policy-minded pieces on how generalist medical AI should be certified.
He is on this list for research influence on medical AI evaluation, not for a commercial CEO role.