AI-Enabled Robotic Knee Transplant Enables 78-Year-Old Patient to Walk Within 3 Hours

In a remarkable medical breakthrough, doctors at Max Multi-Speciality Centre in Delhi successfully performed a robotic-assisted knee transplant on a 78-year-old woman suffering severe arthritis. Thanks to the precision and efficiency of AI-powered robotic technology, the patient began walking within just three hours after surgery and was discharged pain-free within 12 hours—a significant reduction from the typical multi-day hospitalization.

Led by Dr. Sujoy Bhattacharjee, chairman of the Max Institute of Robotic Joint Replacement, the surgical team utilized advanced robotic systems designed for meticulous bone cutting and optimal implant placement. This approach preserves crucial ligaments, reduces tissue trauma, and enhances the fit and durability of the artificial joint. The robot’s real-time 3D imaging and AI-guided precision enable faster recovery, less post-operative pain, and superior joint function, even in elderly patients.

This case exemplifies how integrating robotic AI technology into orthopedic surgery can revolutionize patient outcomes, transforming joint replacement from a lengthy hospital-bound process into a quicker, safer procedure with rapid rehabilitation.