Thomas W. Throckmorton

Papers

Total Citations

H-Index

About

Thomas W. Throckmorton is a leading orthopedic surgeon and researcher whose work centers on the intersection of artificial intelligence and shoulder and elbow surgery. His most-cited paper, "Artificial intelligence in shoulder and elbow surgery: overview of current and future applications" (2024, 18 citations), provides a comprehensive roadmap for integrating machine learning and predictive analytics into clinical practice. Throckmorton’s contributions are pivotal in advancing precision medicine for upper extremity conditions, from diagnostic imaging to surgical planning and outcome prediction. His research not only highlights the transformative potential of AI in orthopedics but also addresses practical implementation challenges, making him a key voice in the field. With a growing citation impact, Throckmorton’s work is shaping how surgeons leverage technology to improve patient care. His dedication to bridging engineering and clinical science positions him as a forward-thinking innovator, inspiring students and researchers to explore the future of data-driven orthopedic surgery.