Papers
33
Total Citations
815
H-Index
17
About
Benny Lo is a leading researcher at the intersection of medical robotics, wearable technology, and artificial intelligence in healthcare. His work spans several transformative domains, including surgical robotics, human-robot interaction, microrobotics, and the application of large-scale AI models in health informatics. Lo's most widely cited contribution, "Large AI Models in Health Informatics" (2023, 224 citations), examines the revolutionary potential of foundation models like ChatGPT across clinical and biomedical applications, establishing him as a prominent voice in AI-driven healthcare innovation. His earlier work on probabilistic frameworks for soft tissue tracking in minimally invasive surgery (2007) laid important groundwork for computer-assisted surgical systems. More recently, he has advanced robot-assisted microsurgery through automated skill assessment using deep learning and transfer learning techniques, and developed context-aware shared control systems that intelligently blend human expertise with robotic precision. Lo has also made meaningful contributions to wearable robotics, designing tremor-suppression exoskeletons and bio-inspired shoulder sensing suits for rehabilitation. His work on optical microrobots further demonstrates his breadth, enabling precise biomedical manipulation at the microscale. Collectively, his research portfolio reflects a career dedicated to making surgical and assistive technologies smarter, safer, and more responsive to human needs.
Research Focus
Key Achievements
Top Papers
- 1Large AI Models in Health Informatics: Applications, Challenges, and the Future224 citations · 2023
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- 10Towards a Snake-Like Flexible Robot for Endoscopic Submucosal Dissection26 citations · 2020