International Conference on Orthopedics, Musculoskeletal Research and Innovation

This session looks at orthopedics through the lens of the engineers, data scientists, and technology-focused clinicians building its next generation of tools. Rather than treating technology as a sidebar, the track puts algorithm design, robotic platform development, and digital health infrastructure at the center of the conversation.

Sub Tracks

• Robotic Platforms and Surgical Automation
• Artificial Intelligence in Diagnostic Imaging
• Machine Learning for Surgical Planning and Outcomes Prediction
• Wearable Sensors and Digital Health Monitoring
• Virtual and Augmented Reality in Surgical Training
• Data Security and Ethics in Orthopedic AI

Scientific Scope & Research Areas

Programme content covers the engineering behind current and emerging robotic surgical platforms, machine learning models applied to imaging diagnosis and outcomes prediction, and wearable sensor technology for post-operative and long-term monitoring. Sessions also address virtual and augmented reality as surgical training tools, and the data governance and ethical questions that come with deploying AI in clinical decision-making.

What Will I Gain?

Delegates gain a realistic picture of where AI and robotics genuinely improve orthopedic outcomes today versus where the technology is still maturing, informed directly by the developers and clinician-scientists building these systems. Those evaluating new technology for their own institutions leave with sharper questions to ask vendors and better criteria for adoption decisions.

Why Participate?

• For clinicians, the track clarifies the evidence behind AI and robotic tools before they're adopted into practice.
• For researchers and engineers, it's an opportunity to exchange technical approaches and bridge the gap between clinical and engineering teams.
• For early-career investigators, it provides a platform to present algorithm- or system-level research to senior technologists and clinicians.
• For institutions and industry partners, it opens opportunities to showcase technology development and build cross-disciplinary collaborations.

Present Your Research

Showcase innovative applications of artificial intelligence, robotics, digital tools or data-driven technologies transforming orthopedic diagnosis and treatment at Submit Abstract →