Jacques Hernigou
Papers
2
Total Citations
63
H-Index
2
About
Jacques Hernigou is a leading orthopedic surgeon and researcher whose work sits at the intersection of joint arthroplasty, digital health, and precision medicine. His primary research areas include total knee and ankle arthroplasty, with a pioneering focus on integrating digital twins, artificial intelligence, and machine learning to personalize surgical robotics. His most-cited paper, “Digital twins, artificial intelligence, and machine learning technology to identify a real personalized motion axis of the tibiotalar joint for robotics in total ankle arthroplasty” (2021, 58 citations), introduced a novel framework for creating patient-specific motion axes—a breakthrough that promises to enhance implant alignment and functional outcomes. Hernigou also investigates the sagittal accuracy of tibial slope in imageless robotic-assisted total knee arthroplasty (2025, 5 citations), contributing to the refinement of robotic techniques that reduce variability and improve joint kinematics. His work bridges computational modeling and clinical practice, offering a roadmap for truly individualized joint replacement. With a growing citation impact, Hernigou is recognized as an innovator in the digital transformation of orthopedic surgery, making him a key figure for students and researchers interested in the future of AI-driven, patient-specific arthroplasty.
Research Focus
Key Achievements
Top Papers
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