Research Colloquium 04/17/25 - Pranav Rajpurkar
Автор: Stanford Division of Computational Medicine
Загружено: 2026-01-20
Просмотров: 12
Talk Title: Beyond Assistance: Rethinking AI-Human Integration in Radiology
Bio: Prof. Pranav Rajpurkar is Assistant Professor of Biomedical Informatics at Harvard Medical School and Co-founder of a2z Radiology AI. A Stanford-trained computer scientist, his research focuses on developing AI systems that match physician-level expertise through multi-modal clinical data interpretation. At Harvard, his lab develops frameworks for evaluating and advancing medical AI in clinical language models and medical imaging. His research includes over 100 publications in journals like Nature, NEJM, and Nature Medicine, garnering over 35,000 citations. Prof. Rajpurkar has educated over 84,000 students through his AI in Medicine courses at Harvard and Coursera. Named among MIT Tech Review's Innovators Under 35 (2023), Forbes 30 Under 30 in Science (2022), and Nature Medicine's Early-career Researchers To Watch (2022), he continues to advance the integration of AI in clinical practice.
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