Learning Objectives:

1. Describe the current evidence supporting mobile health applications for patient education, engagement, and rehabilitation across orthopaedic subspecialties, including arthroplasty, trauma, and osteoarthritis management.
2. Explain the principles, capabilities, and current limitations of markerless motion capture, wearable sensors, and AI-based movement assessment technologies in orthopaedics.
3. Discuss the biomechanical risk factors associated with ACL injury in female athletes and the evidence supporting neuromuscular training–based injury prevention programs.
4. Identify the major barriers to implementation and adherence of ACL injury prevention programs in real-world high school sports settings, particularly in underserved communities.
5. Evaluate how smartphone-based platforms and AI-driven movement analysis may improve scalability, accessibility, and adherence for orthopaedic rehabilitation and injury prevention programs.
6. Describe the design and rationale of our Metro Detroit ACL injury prevention app and its role in translating evidence-based neuromuscular training into practical, coach-led implementation.