Murali Poduval

Papers

Total Citations

H-Index

About

Murali Poduval is a pioneering orthopaedic surgeon and researcher whose work sits at the intersection of artificial intelligence, machine learning, and robotic-assisted surgery. His most influential contributions have reshaped how the field approaches joint arthroplasty, particularly through his landmark 2020 paper, *"Artificial Intelligence and Machine Learning: A New Disruptive Force in Orthopaedics,"* which has garnered 43 citations and is widely regarded as a foundational text for understanding AI’s transformative role in surgical decision-making, preoperative planning, and predictive analytics. Poduval’s second major work, *"Robotic-Assisted Knee Arthroplasty (RAKA): The Technique, the Technology and the Transition,"* with 17 citations, provides a comprehensive roadmap for surgeons adopting robotic systems, detailing both technical execution and the critical shift from traditional methods. Together, these papers have helped bridge the gap between computational innovation and clinical practice, establishing Poduval as a key voice in the digital transformation of orthopaedics. His research not only quantifies the precision and reproducibility gains of robotic assistance but also addresses the practical challenges of integration, making him an essential reference for students and clinicians navigating the future of joint replacement surgery.