Joel Davies

University of Toronto, Mount Sinai Hospital

Papers

2

Total Citations

11

H-Index

1

About

Joel Davies is a rising otolaryngologist–head and neck surgeon whose research sits at the intersection of surgical oncology, artificial intelligence, and perioperative risk assessment. His work on transoral robotic surgery (TORS) for oropharyngeal cancer has helped clarify mortality risks for early-stage disease: his 2022 National Cancer Database study, cited 10 times, provides a critical benchmark for surgeons weighing the safety of minimally invasive approaches against traditional open procedures. More recently, Davies has turned his attention to the future of surgical education. His 2025 scoping review on AI in surgical training—already garnering attention for its timeliness—systematically maps how machine learning and computer vision can transform skills assessment in otolaryngology, moving beyond subjective evaluations toward objective, data-driven feedback. By bridging clinical outcomes research with cutting-edge educational technology, Davies is shaping how the next generation of surgeons will learn and operate. His work speaks directly to trainees and researchers interested in the convergence of head and neck oncology, robotic surgery, and AI-driven performance analytics.

Research Focus

Key Achievements

1
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Perioperative Mortality Risk in Patients Undergoing Transoral Robotic Surgery for T1-T2 Oropharyngeal Squamous Cell Carcinoma: A National Cancer Database Study
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Toronto, Mount Sinai Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago