Matthew Fok
Papers
2
Total Citations
38
H-Index
2
About
Matthew Fok is a pioneering surgeon-researcher at the intersection of minimally invasive thoracic and colorectal surgery and artificial intelligence. His work centers on advancing surgical techniques and preoperative planning, with major contributions in comparing video-assisted thoracoscopic surgery (VATS) to robotic-assisted thoracoscopic thymectomy, a study that has garnered 35 citations and helped shape clinical decision-making in thoracic oncology. More recently, Fok has broken new ground by applying AI models to predict surgical difficulty in rectal cancer surgery using preoperative MRI, a systematic review that, despite its 2025 publication, has already earned 3 citations for its forward-looking approach to personalizing surgical modality selection. His research directly addresses the critical challenge of matching patients with the optimal surgical approach—whether robotic, laparoscopic, or open—given varying local resources. Fok’s work is notable for bridging the gap between cutting-edge technology and practical surgical outcomes, making him a key voice in the era of data-driven, precision surgery. His investigations promise to reduce complications and improve recovery by equipping surgeons with predictive tools, positioning him as a rising leader in surgical innovation.
Research Focus
Key Achievements
Top Papers
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- 2