Le chirurgien du genou 4.0, quelles technologies ?
Seance of wednesday 10 december 2025 (J’aime tes genoux, le genou à travers les âges - l'Académie reçoit la SOFCOT)
DOI number : 10.26299/mfhx-zs04/emem.2025.50.06
Abstract
Knee surgery is entering a new era. The simultaneous emergence of advanced imaging, field-based biomechanics, and artificial intelligence is reshaping how we diagnose, plan, and monitor our patients. The “Knee Surgeon 4.0” is not just an operator equipped with new tools; it is a connected clinician able to integrate objective data at every step of the care pathway.
Three-dimensional imaging now allows detailed assessment of anatomy and laxity, while digital planning improves the precision of surgical procedures, including ligament reconstruction tunnels, osteotomies, and meniscal-preservation techniques. At the same time, robotics, navigation, and patient-specific guides are evolving rapidly.
Outside the operating room, movement analysis is becoming a true clinical tool. Inertial sensors, jump-testing platforms, and AI-assisted video solutions provide simple and reproducible measurements of real-world knee function. These data open the door to more reliable predictive models to guide indications, rehabilitation, and return to sport or desired activities.
This presentation will review these technologies, their clinical value, their limitations, and how they can be integrated into a multidisciplinary daily practice.
Three-dimensional imaging now allows detailed assessment of anatomy and laxity, while digital planning improves the precision of surgical procedures, including ligament reconstruction tunnels, osteotomies, and meniscal-preservation techniques. At the same time, robotics, navigation, and patient-specific guides are evolving rapidly.
Outside the operating room, movement analysis is becoming a true clinical tool. Inertial sensors, jump-testing platforms, and AI-assisted video solutions provide simple and reproducible measurements of real-world knee function. These data open the door to more reliable predictive models to guide indications, rehabilitation, and return to sport or desired activities.
This presentation will review these technologies, their clinical value, their limitations, and how they can be integrated into a multidisciplinary daily practice.


