4th Edition of Global Conference on
Physical Medicine and Rehabilitation
September 24-26, 2026 | London, UK
AI, Machine Learning, and Big Data
The application of AI, machine learning, and big data in PM&R is revolutionizing rehabilitation by enabling predictive analytics, personalized treatment plans, and automated assessments. AI-driven gait analysis and motion capture systems provide real-time feedback, optimizing movement correction and therapy outcomes. Machine learning models are refining diagnosis accuracy by identifying patterns in complex rehabilitation data, while big data integration helps clinicians track patient progress and predict recovery trajectories. Virtual assistants and chatbots are also enhancing patient engagement by providing continuous support and therapy reminders. As artificial intelligence continues to advance, rehabilitation practices are becoming more adaptive, data-driven, and responsive to individual patient needs.
Kenneth R Pelletier
University of California School of Medicine, United States
Marcia J Scherer
Institute for Matching Person and Technology, United States
Jay Spector
American Academy of Podiatric Sports Medicine (AAPSM), United States
Subramanya Adiga
Middlemore Hospital, New Zealand
Rachid El Khoury
Saint Joseph University, Saudi Arabia
Elizabeta Popova Ramova
MIT University, Republic of North Macedonia
Nicole Langevin
Nicole Langevin, NAWGJ, USA Gymnastics, United StatesSubmit your abstract Today
Title : Treatment of Medial Tibial Stress Syndrome (MTSS): What is the evidence-based medical treatment
Jay Spector, American Academy of Podiatric Sports Medicine (AAPSM), United States
Title : Wearables and health - The human machine manual
David John Wortley, World Lifestyle Medicine Education Services, United Kingdom
Title : Change your genes – Change your life: Epigenetics of longevity
Kenneth R Pelletier, University of California School of Medicine, United States
Title : Best practice guidelines for the use of pharmacological neuromodulation in disorders of diminished motivation: A comprehensive approach
Vaidya Balasubramaniam, Illawarra and Shoalhaven Local Health District Hospitals, Australia
Title : Evolving trends in assistive technology use
Marcia J Scherer, Institute for Matching Person and Technology, United States
Title : Sports medicine care of the foot and ankle: Now and into the future
Matthew B Werd, American Academy of Podiatric Sports Medicine (AAPSM), United States