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
Table of Content
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
About the author
Varut Vardhanabhuti is a Clinical Assistant Professor in Diagnostic Radiology at the University of Hong Kong. He has published > 90 peer-reviewed articles, inventor of a few patents, and is a co-founder of a medical longevity startup, Snowhill Science Ltd. He is passionate about using technology in education.
Ka-Wai Kwok is an Associate Professor in the Dept. of Mechanical Engineering at the University of Hong Kong, He has a Ph D from Imperial College London in Robotic Surgery. His research focuses on surgical robotics and intra-operative image guidance, and his multidisciplinary work has been recognized by various (>11) awards in international conferences/journals.
Jason Ying Kuen Chan is an Associate Clinical Professor at the Chinese University of Hong Kong and a Deputy Director of the CUHK Jockey Club Minimally Invasive Surgical Skills Centre. His research interests centre around the application of robotics in minimally invasive surgery and the role of the microbiome in head and neck cancers, with over 83 referred journal articles, 10 book chapters and 44 conference abstracts.
Qui Dou, is an Assistant Professor in the Department of Computer Science at the Chinese University of Hong Kong. Her research interest lies in the interdisciplinary area of AI for healthcare with expertise in medical image analysis and robot-assisted surgery towards the goal of advancing disease diagnosis and intervention via machine intelligence.
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