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.
Jay Spector
American Academy of Podiatric Sports Medicine (AAPSM), United States
Marcia J Scherer
Institute for Matching Person and Technology, United States
Marcos Brioschi
American Academy of Thermology, United States
Blair Gorenberg
Shirley Ryan Abilitylab, United States
Roberta Sartori
IRCCS Materno-Infanitle Burlo Garofolo, Italy
Cho Li Yin
Taichung Veterans General Hospital - VGHTC, Taiwan
Eren Uyar
Fizyomen Physiotherapy & Rehabilitation Center, TurkeySubmit your abstract Today
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 : A forgotten component of knee osteoarthritis
Ron Blehm, EEI Physio LLC, United States
Title : Functional outcomes of DSSA-Based pelvic rehabilitation combined with manual therapy and electrostimulation in men after oncologic surgery: A retrospective case series
Eren Uyar, Fizyomen Physiotherapy & Rehabilitation Center, Turkey
Title : We are living and working in the age of individualization
Marcia J Scherer, Institute for Matching Person and Technology, United States
Title : Efficacy of Inspiratory Muscle Training (IMT) in post-weaning ICU recovery: A clinical randomized controlled trial
Warda Khan, Chongqing Medical University, Pakistan
Title :
Subramanya Adiga, Middlemore Hospital, New Zealand