Samuel G Lorentz
Papers
1
Total Citations
18
H-Index
1
About
Samuel G. Lorentz is a pioneering orthopedic researcher whose work focuses 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 synthesis of how machine learning and AI technologies are transforming preoperative planning, intraoperative guidance, and postoperative outcomes in upper extremity procedures. Lorentz’s contributions are notable for bridging the gap between cutting-edge computational methods and clinical practice, offering a roadmap for integrating AI into surgical decision-making. His work has quickly gained traction, reflecting the growing demand for data-driven approaches in orthopedics. Beyond this landmark review, Lorentz is recognized for his ability to distill complex technological advancements into actionable insights for surgeons and researchers. His research not only highlights current applications but also anticipates future innovations, positioning him as a key voice in the evolution of smart, personalized orthopedic care. For students and clinicians alike, Lorentz’s scholarship serves as a vital resource for understanding how AI is reshaping the landscape of shoulder and elbow surgery.
Research Focus
Key Achievements
Top Papers
- 1