Wisit Cheungpasitporn

Wisit Cheungpasitporn, M.D., FACP, FASN, FAST is a Professor of Medicine at Mayo Clinic in Rochester, Minnesota, and a recognized leader in advancing artificial intelligence (AI) in nephrology. He serves as AI Content Lead and Course Director at the Mayo Clinic Alix School of Medicine, where he develops and implements frameworks for integrating AI and machine learning into medical education and kidney care.

Global Leadership in AI and Innovation Dr. Cheungpasitporn plays a central role in shaping the global direction of AI in kidney health. He is a core member of the Steering Committee for the American Society of Nephrology’s Partnership for Responsible AI in Kidney Health and a contributing author to the landmark consensus statement, “Responsible Use of Artificial Intelligence to Improve Kidney Care,” which provides a strategic and ethical roadmap for AI adoption worldwide. He also serves as a Workgroup Leader for the KDIGO Controversies Conference on Technological Advancements, helping define the next generation of guideline-informed, technology-enabled nephrology care.

Education, Research, and Clinical Impact An award-winning educator and researcher, Dr. Cheungpasitporn has received the Donald C. Balfour Research Award and multiple Teacher of the Year honors. He leads multidisciplinary AI education initiatives spanning medical students, trainees, and practicing clinicians, with a focus on real-world clinical integration, decision support, and workflow optimization. His research focuses on translating AI into actionable clinical tools in acute kidney injury, chronic kidney disease, dialysis, and transplantation, bridging innovation with patient-centered outcomes.

Vision for the Future of Kidney Care Dr. Cheungpasitporn is committed to advancing a future where AI enhances—not replaces—clinical expertise. His work emphasizes responsible implementation, transparency, and equity, while fostering collaboration among clinicians, engineers, and data scientists. He is also dedicated to improving AI literacy among patients and the public, ensuring that digital health innovations remain accessible, trustworthy, and aligned with patient needs.