Foreword

Skin cancer remains one of the most prevalent and potentially deadly forms of cancer, yet its prognosis improves significantly with early detection and timely intervention. In the age of rapid technological advancement, traditional diagnostic approaches are being augmented and in some cases transformed by cutting-edge innovations such as Artificial Intelligence (AI), Internet of Things (IoT), and mobile health applications. This book provides a comprehensive examination of how these technologies are revolutionizing dermatological diagnostics, particularly in the context of skin cancer.

Each chapter meticulously outlines a critical area, ranging from digital dermoscopy to teledermatology, wearable UV-monitoring devices, and AI-driven imaging, presented by a collaborative team of researchers and clinicians. The content not only highlights current capabilities but also examines future directions, ethical implications, and challenges still to be addressed.

This volume stands as a timely and essential contribution to the field of digital dermatology. It is especially beneficial for clinicians, biomedical researchers, healthcare technologists, and policy-makers committed to improving patient outcomes through innovation.

The authors are commended for this significant endeavor, and it is hoped this work inspires further research and application in the pursuit of smarter, more accessible skin cancer diagnostics.