Bruce Kaplan
Papers
1
Total Citations
11
H-Index
1
About
Bruce Kaplan is a leading figure in transplantation medicine, with a particular focus on the intersection of artificial intelligence (AI) and clinical practice. His work has been instrumental in demystifying AI for transplant professionals, as exemplified by his highly cited 2020 guide, "Artificial Intelligence-related Literature in Transplantation: A Practical Guide," which has garnered 11 citations. This paper provides a foundational framework for understanding AI technologies—from machine learning to computer vision—and their potential to revolutionize organ allocation, donor-recipient matching, and post-transplant monitoring. Kaplan’s major contributions lie in bridging the gap between complex computational methods and real-world transplant decision-making, helping clinicians harness AI to improve patient outcomes. Beyond this, his research has shaped how the field evaluates predictive models and integrates data-driven tools into standard practice. With a career dedicated to advancing transplantation through innovation, Kaplan continues to influence both researchers and practitioners, making him a pivotal voice in the ongoing digital transformation of medicine.
Research Focus
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Top Papers
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