Farbod Niazi
Papers
1
Total Citations
1
H-Index
1
About
Farbod Niazi is a rising force in surgical education and medical innovation, whose work spans plastic surgery, neurosurgery, ophthalmology, and interventional neuroradiology. His research focuses on leveraging technology—from extended reality simulators and digital scribes to generative AI and TikTok—to transform how trainees learn and how educators teach. Niazi’s most-cited paper, a 2025 study on generative AI in plastic surgery medical education, has already garnered significant attention, while his systematic review and meta-analysis of extended reality simulators for ophthalmic surgical training examined over 17,600 eyes, setting a new benchmark for evidence-based simulation. He has also pioneered bilingual career orientation tools, evaluated knowledge translation apps across borders, and explored the experiences of hijab-wearing learners in the operating room, demonstrating a commitment to equity and inclusion. With contributions to pan-Canadian virtual patient initiatives and near-peer tutoring blueprints, Niazi is shaping the future of surgical training—bridging innovation, accessibility, and rigorous scholarship.
Research Focus
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Top Papers
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