Trent Davis
Papers
1
Total Citations
10
H-Index
1
About
Trent Davis is a rising orthopedic surgeon and researcher whose work focuses on the integration of robotic-assisted technologies in total knee arthroplasty (TKA). His primary research area is the surgical learning curve, particularly for imageless robotic systems, where he examines how non-fellowship trained joint replacement surgeons adapt to these advanced tools. Davis’s most-cited paper, "Learning curve for imageless robotic-assisted total knee arthroplasty in non-fellowship trained joint replacement surgeons" (2023, 10 citations), provides critical insights into the training and proficiency required for surgeons transitioning to robotic platforms. This work is notable for addressing a gap in the literature, offering evidence that can guide surgical education and improve patient outcomes. By quantifying the number of cases needed for competency, Davis helps demystify the adoption of robotic surgery in community and academic settings. His contributions are particularly impactful for early-career surgeons and residency programs, highlighting practical pathways to integrate innovation without extensive fellowship training. With a growing citation count, Davis is establishing himself as a key voice in orthopedic research, bridging technology and surgical practice to enhance accessibility and safety in joint replacement.
Research Focus
Key Achievements
Top Papers
- 1