Track: AI and Robotics in Orthopedics

Orthopedic Surgery Meeting

The AI and Robotics in Orthopedics session explores how intelligent systems are transforming every stage of the surgical journey from diagnostic imaging that flags subtle fractures and early osteoarthritis, to robotic platforms that place implants with accuracy.

 

Beyond the operating room, this session examines smart implants that transmit real-time recovery data, AI-assisted preoperative planning, and augmented reality navigation systems. Speakers will also address the practical realities of adoption, regulatory pathways, cost-effectiveness, and the ethical questions surgeons face as algorithms take on a greater role in clinical decision-making.


This session also highlights how AI and robotics are narrowing the gap between surgical planning and execution, giving surgeons more confidence in complex cases and giving patients faster, more predictable recoveries. For anyone tracking the digital transformation of orthopedic surgery, this is one of the most forward-looking sessions of the conference.


Key Topics and Highlights: 


AI-Driven Diagnostics: Machine learning models that detect fractures and early cartilage degeneration with expert-level accuracy. Early studies suggest they can flag subtle findings that are easy to miss on initial review.


Robotic-Assisted Joint Replacement: Precision implant placement and its measurable impact on long-term outcomes. Attendees will review outcome data comparing robotic and conventional placement across multiple joint types.


AI in Preoperative Planning: Predictive modeling for implant sizing, positioning, and complication risk. The session covers how surgeons are validating these recommendations against their own clinical judgment.


Smart Implants: Sensor-embedded devices enabling real-time postoperative monitoring. These implants can track load, motion, and early signs of loosening long after surgery is complete.


Augmented Reality Navigation: Intraoperative guidance systems enhancing surgical precision. This session examines early adoption experiences and the learning curve associated with these systems.


Ethics, Cost & Regulation: Navigating the practical barriers to widescale AI and robotics adoption. Topics include liability questions when algorithms influence surgical decisions, and the upfront cost barriers facing smaller hospitals.