Alexander Borg
Papers
4
Total Citations
88
H-Index
3
About
Alexander Borg is a pioneering researcher at the intersection of medical education and artificial intelligence, specializing in the development of innovative virtual patient simulations. His primary research areas include clinical reasoning training, social robotics, and large language models (LLMs) in healthcare education. Borg’s major contribution lies in creating a novel platform that combines the Furhat social robot with LLMs to produce highly interactive and realistic virtual patients for medical students. His work has demonstrated that this approach significantly enhances clinical reasoning skills compared to traditional computer-based simulations, offering a more authentic and engaging learning experience. His most cited paper (37 citations) presents a mixed methods study validating this technology for clinical reasoning training, while a qualitative comparison (29 citations) highlights its superiority in rheumatology education. Borg’s research has been published in leading journals and presented at key conferences, earning recognition for its potential to transform medical pedagogy. By bridging robotics and AI, Borg is shaping the future of medical training, equipping students with critical diagnostic skills through immersive, technology-driven simulations.
Research Focus
Key Achievements
Top Papers
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