Jinlei Mao

Papers

Total Citations

H-Index

About

Jinlei Mao is a forward-thinking researcher at the intersection of surgical innovation and artificial intelligence, with a primary focus on robotic surgery training and medical education. His most impactful work, the 2023 review "3D printed models and Artificial Intelligence: A review of their impact in robotic surgery training," critically examines how emerging technologies are reshaping surgical pedagogy. This paper, which has already garnered early citations, synthesizes the transformative potential of combining 3D-printed anatomical models with AI-driven simulation to address the critical gap between rapid robotic system adoption and adequate training protocols. Mao’s contributions lie in identifying how these tools can provide realistic, risk-free practice environments, thereby enhancing surgical precision and reducing learning curves. His work is particularly notable for bridging engineering and clinical practice, offering a roadmap for integrating tangible models with intelligent feedback systems. As robotic surgery continues to expand globally, Mao’s insights are proving essential for educators and trainees alike, positioning him as a key voice in the future of surgical training. His research not only highlights current technological synergies but also sets the stage for more personalized, data-driven approaches to mastering complex surgical skills.