Rohan Chopra

Papers

Total Citations

H-Index

About

Rohan Chopra is a researcher at the intersection of artificial intelligence and orthopedic surgery, with a primary focus on deep learning applications in spine surgery. His most-cited work, "Deep learning in spine surgery" (2021, 9 citations), provides a foundational overview of how neural networks can enhance diagnostic imaging, surgical planning, and outcome prediction in spinal procedures. Chopra’s contributions lie in bridging the gap between complex AI models and clinical practice, offering surgeons accessible tools for improved precision and patient safety. While his citation count is still growing, his work has been recognized for its timely synthesis of emerging technologies, making it a valuable resource for both clinicians and computational researchers. Chopra’s research underscores the transformative potential of machine learning in orthopedics, and his ongoing efforts continue to shape how deep learning is integrated into surgical workflows. For students and researchers exploring AI in medicine, his work serves as a clear entry point into the challenges and opportunities of this rapidly evolving field.