This book was written to close that gap.
Artificial Intelligence in Physiotherapy and Allied Health: Leveraging Education helps students study smarter-not harder-by using AI as a thinking partner, not a shortcut. Written in clear, accessible language, this Volume 1 guides readers in using AI for note-making, summarization, spaced repetition, viva and OSCE preparation, clinical reasoning, and self-directed learning.
Rather than replacing effort, the book highlights how AI can boost understanding, sharpen reasoning, and accelerate learning while maintaining academic honesty, critical thinking, and ethical responsibility.
It includes fictional global case scenarios, research-backed insights, visual aids, and chapter-end references to make learning engaging and practical. These tools help learners apply AI to real-world healthcare education, build confidence, and strengthen professional reasoning skills.
✅ What You'll Learn
How to use AI tools for personalized study planning and efficient revision
AI-supported note-making, summarization, and concept-clarification strategies
Practicing viva and OSCE scenarios using AI role-play and questioning
Maintaining ethics, data privacy, and academic honesty in AI-assisted work
Using AI for writing improvement, reflective learning, and job-interview preparation
200+ AI prompts for physiotherapy and allied health learners covering study, documentation, and professional development
✅ Who This Book Is For
Physiotherapy and allied health students aiming to improve learning outcomes
Interns and early-stage learners preparing for OSCEs, vivas, and interviews
Educators and mentors guiding AI-assisted, evidence-based learning
✅ A Practical, Ethical, and Future-Ready Approach
Aligned with healthcare values-ethics, empathy, accountability, and human judgment-this book ensures AI strengthens professionalism instead of replacing it. It's ideal for those who want to study smarter, reduce stress, and build AI literacy in healthcare education.
Keywords: artificial intelligence, AI in physiotherapy, allied health, healthcare education, OSCE preparation, clinical reasoning, evidence-based learning, self-directed learning, AI tools for students, medical education.
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