Jay M. Levin

Papers

Total Citations

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About

Jay M. Levin is a rising leader in orthopedic surgery whose work is redefining the future of shoulder and elbow care through the integration of advanced technology. His primary research focuses on the application of artificial intelligence and robotics in total shoulder arthroplasty, exploring how these innovations can enhance surgical precision, improve patient outcomes, and shape the next generation of joint replacement. Levin’s most-cited paper, “Technological innovations in shoulder replacement: current concepts and the future of robotics in total shoulder arthroplasty” (2023, 43 citations), provides a comprehensive roadmap for the field, while his 2024 overview of AI in shoulder and elbow surgery (18 citations) highlights the transformative potential of machine learning in preoperative planning and intraoperative decision-making. Though early in his career, Levin’s work has already garnered significant attention, reflecting his ability to bridge cutting-edge technology with clinical practice. His contributions are particularly notable for their forward-looking perspective, offering both current applications and a vision for the future—making him a key voice for students and researchers interested in the intersection of orthopedics and digital innovation.