Papers

3

Total Citations

6

H-Index

2

About

Jordan J. Levett is a rising researcher at the intersection of orthopedic surgery, artificial intelligence, and digital health. His work focuses on robotic-assisted arthroplasty and spinal surgery, with a particular emphasis on understanding public and professional perceptions through novel computational methods. Levett’s major contributions include pioneering the use of natural language processing (NLP) to analyze social media discussions around robotic total hip and knee arthroplasty, revealing how online discourse shapes clinical adoption and patient expectations. His systematic review and meta-analysis on radiation exposure in robot-guided versus fluoroscopy-guided spinal fusion provides critical evidence for surgical safety and decision-making. Though early in his career, his most-cited papers—published in 2025—have already garnered several citations, signaling growing interest in his data-driven approach to surgical innovation. Levett’s work is notable for bridging the gap between advanced surgical technology and real-world patient and surgeon perspectives, offering insights that are both clinically relevant and socially informed. His research is essential reading for anyone interested in the future of robotic orthopedics and the role of social media in modern medicine.

Research Focus

Key Achievements

2
H-Index
3
Papers
6
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Perspectives surrounding robotic total hip arthroplasty: a cross-sectional analysis using natural language processing
3 citations · 2025
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Montreal General Hospital, Université de Montréal, McGill University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago