Automated knee implant selection systems: review and prospects

The article discusses the current state and future prospects of automated systems for knee implant selection. It emphasizes the importance of precise implant matching for successful total knee arthroplasty, as well as the increasing role of technologies such as robotic surgical systems, artificial intelligence and machine learning-based tools, computer-assisted surgery systems, and patient-specific implants. Various robotic systems, their characteristics, and comparative aspects are described in detail. The application of artificial intelligence and machine learning in predicting implant sizes, 3D planning, and the development of patient-specific implants is examined. Special attention is paid to computer-assisted surgery systems beyond robotics, the role of preoperative planning, and 3D modeling. An overview of emerging technologies and future directions in this field is provided.