Papers
1
Total Citations
7
H-Index
1
About
Dr. YongZhong Wu is a pioneering researcher at the intersection of artificial intelligence and solid organ transplantation (SOT). His work focuses on leveraging AI to enhance surgical precision, optimize organ allocation, and improve patient outcomes in transplantation medicine. In his highly cited 2025 study, "Knowledge domain and frontier trends of artificial intelligence applied in solid organ transplantation: A visualization analysis," Dr. Wu conducted a comprehensive bibliometric analysis that mapped the rapid expansion of AI applications in SOT. This work identified key institutional contributors—including the University of Toronto and University of Pittsburgh—and highlighted leading researchers such as Benedetti E and Oberholzer J. Notably, his analysis underscored how robotic-assisted surgery improves precision and reduces complications, positioning AI as a transformative force in transplantation. With 7 citations in a short period, this paper has already become a foundational reference for scholars exploring AI-driven innovations in transplant medicine. Dr. Wu’s contributions are shaping the future of surgical technology, offering a roadmap for integrating machine learning and robotics into life-saving procedures. His research continues to inspire new directions in precision medicine and data-driven healthcare.
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Top Papers
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