This webinar is an AAOS member benefit - members join for free!

Description

This symposium will explore cutting-edge applications of artificial intelligence (AI) in the field of total joint arthroplasty, emphasizing practical integration into clinical workflows and future potential for improving patient outcomes. With a focus on conversational AI, predictive modeling, and decision support, the session brings together leaders in orthopaedics, data science, and health systems innovation.

Learning Objectives

• Objective 1: Understand emerging AI applications relevant to the total joint arthroplasty care continuum and explore the role of machine learning in surgical prediction, planning, and outcome optimization.
• Objective 2: Examine how conversational AI can support scalable patient engagement and documentation.
• Objective 3: Evaluate the integration of functional and patient-reported data into AI-driven recovery tracking and envision the future of AI-supported decision-making across arthritis and joint health models.

Director

Christian Pean, MD

Faculty

Prakash Jayakumar, MD, John Dundon, MD, Thorsten Seyler, MD 

The American Academy of Orthopaedic Surgeons is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education (CME) for physicians. The American Academy of Orthopaedic Surgeons designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

If you are unable to attend the live webinar, you may still register to be notified upon the availability of the recorded session. Access to the recording will be granted for a duration of 2 years.