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Artificial Intelligence in Physiotherapy Education: Transforming Learning, Teaching, and Clinical Training

Authors: Dr. Kriti Vinay Joseph, Dr. Kushal Sharma, and Dr. Mukul Kumar Sain

ISBN: 978-81-69297-96-7

DOI: https://doi.org/10.59646/750

Date of Publication: July 02, 2026

Cite this book: Kriti VJ, Kushal S, and Mukul KS, (2026), Artificial Intelligence in Physiotherapy Education: Transforming Learning, Teaching, and Clinical Training, San International Scientific Publications, ISBN: 978-81-69297-96-7, DOI: https://doi.org/10.59646/750

Preface

Artificial intelligence is no longer a distant technological horizon — it is an immediate reality reshaping every dimension of healthcare and education. From intelligent tutoring systems that personalize student learning to robotic rehabilitation platforms that optimize patient recovery, AI is rapidly transforming the landscape in which physiotherapists are trained, educated, and expected to practise.

This book, Artificial Intelligence in Physiotherapy Education: Transforming Learning, Teaching, and Clinical Training, was conceived with a singular purpose: to provide physiotherapy students, educators, researchers, and clinicians with a comprehensive, accessible, and practically grounded resource for understanding and engaging with artificial intelligence in their professional lives. The authors recognized a significant gap in existing literature — while AI applications in medicine have been extensively documented, resources specifically addressing the physiotherapy context remained scarce.

The book is organized into five thematic sections spanning twelve chapters, supplemented by practical appendices. Section I establishes foundational knowledge of artificial intelligence and digital transformation. Sections II and III explore AI applications in student learning, anatomy education, simulation-based training, and clinical teaching. Section IV addresses AI in physiotherapy research and academic writing, while Section V confronts the ethical, legal, and professional considerations that must guide responsible AI adoption. The final chapter looks forward to the future of physiotherapy education in an AI-driven world.

Throughout the writing process, we have been guided by a central conviction: that artificial intelligence is most powerful when it augments human expertise rather than replacing it. The compassion, clinical reasoning, empathy, and therapeutic relationship that define exceptional physiotherapy cannot be replicated by algorithms.

We hope this book serves as both a practical guide and an intellectual companion as physiotherapy enters an exciting new era. Whether you are a student encountering AI for the first time, an educator redesigning curricula, a researcher exploring intelligent methodologies, or a clinician navigating technology-enhanced practice, we trust that these pages will inform, inspire, and equip you for the journey ahead.

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