Wisit Cheungpasitporn, MD, FACP, FASN, FAST is a Professor of Medicine at the Mayo Clinic College of Medicine and Science and a consultant in the Division of Nephrology and Hypertension at Mayo Clinic in Rochester, Minnesota. He also serves as Artificial Intelligence Content Lead and Course Director at the Mayo Clinic Alix School of Medicine. His clinical and research interests include acute and chronic kidney disease, dialysis, kidney transplantation, and the integration of artificial intelligence and machine learning into nephrology to advance evidence-based, personalized kidney care. An internationally recognized physician-scientist and educator, he is actively involved in guideline development, global collaboration, and mentoring the next generation of nephrologists.
Reasons to review for CKJ
I review for the Clinical Kidney Journal because it is a nephrology journal of the European Renal Association (ERA) that consistently delivers outstanding, clinically meaningful research with direct relevance to patient care. I greatly appreciate CKJ’s rigorous yet constructive peer-review process, its clear clinical vision, and its strong commitment to advancing evidence-based nephrology. It is a privilege to contribute as a reviewer within such an exceptionally well-organized journal supported by a dedicated and thoughtful editorial leadership team.
Favourite 2025 CKJ article
ECOSBot: a multicenter validation pilot study of a generative AI tool for OSCE-based nephrology training
I found this article particularly compelling for its rigorous multicenter validation, its thoughtful evaluation of generative AI as both a standardized patient and examiner, and its clear relevance to scalable, high-fidelity nephrology education. The study offers an important and pragmatic contribution to how AI can responsibly augment competency-based medical training in nephrology.