معرفی
Pranav Rajpurkar is an Associate Professor of Biomedical Informatics at Harvard Medical School, leading the Rajpurkar Lab. His research focuses on developing AI technologies for clinical decision-making, particularly in medical imaging and clinician-AI collaboration. He holds a PhD in Computer Science from Stanford University and has collaborated widely with clinicians across radiology, cardiology, and pathology. His work emphasizes scalable dataset curation, AI algorithms for limited data, and ethical integration of AI into healthcare workflows.
Education: B.S., M.S., and Ph.D. in Computer Science from Stanford University.
Research Interests: Artificial Intelligence in healthcare, medical imaging analysis, generative AI models, human-AI collaboration, and healthcare policy for AI adoption. His lab’s innovations include foundational work on chest X-ray interpretation and frameworks for medical AI certification.
Key Contributions: Over 57 publications, including high-impact studies in Nature, Lancet, and NEJM. Active in global initiatives like the MAIDA data-sharing framework and clinical certification pathways for medical AI systems.
Labs/Teams: Directs the Rajpurkar Lab at Harvard DBMI, collaborating with industry and academic partners to advance AI-driven healthcare solutions.
