David Yeroushalmi

NYU Langone Health

Papers

2

Total Citations

32

H-Index

2

About

David Yeroushalmi is a rising orthopedic researcher whose work focuses on the economic and clinical outcomes of robotic-assisted and navigated technology in knee arthroplasty. His research critically evaluates whether advanced surgical tools—such as robot-assisted unicondylar knee arthroplasty (UKA) and computer-assisted navigation in total knee arthroplasty (TKA)—truly deliver value to patients and healthcare systems. In his highly cited 2020 study, Yeroushalmi demonstrated that robotic-assisted UKA may be cost-effective for end-stage osteoarthritis patients, offering a compelling economic argument for precision surgery. However, his 2021 paper challenged assumptions in the field, finding that intraoperative technology in TKA does not significantly reduce postoperative pain, despite improving alignment. With over 30 citations across his most influential works, Yeroushalmi’s contributions are notable for their balanced, evidence-based perspective—highlighting both the promise and limitations of surgical innovation. His work is essential reading for clinicians and researchers seeking to understand where technology truly adds value in joint replacement surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Early Economic Analysis of Robotic-Assisted Unicondylar Knee Arthroplasty May Be Cost Effective in Patients with End-Stage Osteoarthritis
17 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: NYU Langone Health

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago