Papers
17
Total Citations
306
H-Index
10
About
Max Ettinger is a prominent orthopedic surgery researcher whose work centers on robotic-assisted and computer-assisted technologies in joint arthroplasty, particularly total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA). His research has meaningfully advanced the field by rigorously evaluating how emerging surgical technologies translate into real-world clinical and economic outcomes. Among his most influential contributions, Ettinger's 2021 learning curve analysis of imageless robotic TKA (59 citations) provided surgeons with critical benchmarks for adopting robotic systems safely and efficiently. His comparative cost analysis of computer-assisted technologies (42 citations) addressed one of the field's most pressing practical concerns, offering evidence-based guidance for hospital administrators and surgical teams. His work on individualized alignment using image-based robotics (39 citations) highlighted the potential for personalized approaches to reduce patient dissatisfaction following TKA. Ettinger has also tackled less-explored dimensions of robotic surgery, including occupational noise exposure in the operating theater and the benefits of robotics for low-volume UKA surgeons—demonstrating a commitment to both patient and staff welfare. With over 250 cumulative citations across his top publications and contributions spanning randomized controlled trials, cadaveric studies, and international multi-center analyses, Ettinger has established himself as a versatile and impactful voice in modern arthroplasty research.
Research Focus
Key Achievements
Top Papers
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- 4Noise exposure during robot-assisted total knee arthroplasty23 citations · 2022
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- 6Computer-Assisted Orthopedic and Trauma Surgery20 citations · 2020
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- 8Imageless robotic-assisted revision arthroplasty from UKA to TKA15 citations · 2021
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