Machine Learning, Medical AI and Robotics

An up-to-date review of current medical artificial intelligence and robotics applications across different medical disciplines.

This book explores the latest breakthroughs in medical technology, focusing specifically on artificial intelligence (AI) and robotics. It reveals how these advancements are transforming the healthcare landscape and reshaping the future of medicine.

The goal of this book is to provide a multidisciplinary perspective from experts in various medical subspecialties, examining the current and potential applications of medical AI and robotics. The authors guide readers through cutting-edge research and real-world examples, showcasing how AI is revolutionizing disease diagnosis, drug discovery, personalized treatment plans, and prevention. It also discusses emerging technologies such as wearables and highlights the emergence of medical robots that assist in complex surgeries and provide patient care.

Key Features:

• Original content, not covered by any other books that we know of.
• Each chapter is to be written by experts in their respective fields.
• Top-quality illustrations and supplementary animations/videos
• The book will have a broad reach and interest to a wide audience.
• Extensive references will be included at the end of each chapter to enhance further study

Preface

Acknowledgements

Editor biographies

List of contributors

1 Machine learning in medicine—focus on radiology

2 Machine learning: applications in ophthalmology

3 Artificial intelligence clinical applications of wearable technologies

4 Artificial intelligence in dentistry and oral health

5 Artificial intelligence applications in pathology

6 Artificial intelligence–powered imaging-based diagnostic tools for ageing and longevity

7 Intra-operative image-guided interventional robotics—where are we now and where are we going?

8 Surgical applications in medical artificial intelligence

9 Technical innovations to improve artificial intelligence generalizability of automated medical image diagnosis for clinical practice