Daniel Kiely
McGill University, Jewish General Hospital, Université de Montréal
Papers
3
Total Citations
63
H-Index
2
About
Daniel Kiely is a leading researcher in surgical simulation and robotic surgery, with a focus on advancing gynecologic oncology through innovative training methodologies. His most impactful work centers on developing and validating proficiency-based virtual reality curricula to teach complex robotic skills. In a landmark 2015 randomized controlled trial (52 citations), Kiely demonstrated that a structured virtual reality simulation curriculum significantly improves robotic suturing proficiency among surgeons, establishing a benchmark for competency-based training. This work, alongside his 2014 study on low-cost pelvic lymphadenectomy models (9 citations), underscores his commitment to democratizing surgical education—making high-fidelity, anatomy-specific training accessible while reducing reliance on costly cadaveric or live models. Kiely’s research bridges the gap between simulation and clinical readiness, directly impacting patient safety and surgical outcomes. His contributions have been recognized as foundational in the field, with his curricula adopted in training programs globally. By rigorously testing simulation’s transferability to the operating room, Kiely has helped redefine how surgeons acquire and refine robotic skills, cementing his role as a pioneer in evidence-based surgical education.
Research Focus
Key Achievements
Top Papers
- 1
- 2Advancing Surgical Simulation in Gynecologic Oncology9 citations · 2014
- 3