Editors: Akhil Sharma, Shaweta Sharma, Shivkanya Fuloria, Sudhir Kumar

AI and IoT-Enhanced Skin Cancer Detection and Care (Part 2)

eBook: US $129 Special Offer (PDF + Printed Copy): US $207
Printed Copy: US $142
Library License: US $516
ISBN: 979-8-89881-199-0 (Print)
ISBN: 979-8-89881-198-3 (Online)
Year of Publication: 2025
DOI: 10.2174/97988988119831250101

Introduction

This two-part series examines how AI-powered image analysis and IoT-enabled devices enhance diagnostic precision, facilitate real-time monitoring and early detection through connected sensors. Together, these technologies bridge gaps in access, reduce diagnostic subjectivity, and support remote patient care. The books also address vital considerations such as data privacy, security, and ethical implications in digital healthcare. Highlighting both current applications and future directions, the series emphasizes interdisciplinary collaboration to advance AI and IoT-driven dermatology for improved clinical outcomes and equitable healthcare delivery.

Key Features:

  • - Explores the convergence of AI and IoT in skin cancer detection and care.
  • - Highlights advanced imaging, data analytics, and sensor-based monitoring.
  • - Discusses challenges related to privacy, ethics, and healthcare accessibility.
  • - Showcases current research and innovations targeting early and precise diagnosis.
  • - Bridges medical, technological, and policy perspectives for holistic insight.

Target Readership:

Designed for researchers, clinicians, biomedical engineers, data scientists, healthcare professionals, and policymakers seeking a comprehensive understanding of emerging AI- and IoT-based solutions in dermatological care.

Foreword

Skin cancer is one of the fastest-growing global health concerns, demanding timely detection, innovative treatment, and personalized management strategies. This book, a multidisciplinary collaboration among healthcare professionals, engineers, and researchers, captures the convergence of advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), blockchain, mobile applications, and genomics in revolutionizing skin cancer diagnostics and care. The book examines how digital dermoscopy, wearable sensors, remote patient monitoring, and AI-driven diagnostic systems are reshaping conventional dermatological practices. It explores not just technological integration but also its societal, ethical, and regulatory implications, offering both depth and practicality. From early detection via mobile apps to genomic profiling for precision treatment and the role of 5G in real-time consultations, this text reflects the future of dermatology. It empowers clinicians, researchers, policy-makers, and students with the insights necessary to navigate and contribute to this digital transformation. This book stands as a testament to the power of interdisciplinary innovation and its potential to improve outcomes in skin cancer care. I wholeheartedly commend the editors and contributors for their vision, commitment, and scholarly rigor in creating this timely and impactful resource.

Pankaj Kumar Singh
Institute of Biomedicine, University of Turku, Finland