
AI and IoT-Enhanced Skin Cancer Detection and Care (Part 2)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
AI and IoT-Enhanced Skin Cancer Detection and Care (Part 2)
About this book
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.
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Information
Table of contents
- Welcome
- Table of Contents
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD
- PREFACE
- List of Contributors
- Mobile Apps for Self-Examination and Early Detection of Skin Cancer
- Blockchain for Secure and Interoperable Health Records
- Genomic Diagnostics in Precision Skin Cancer Treatment
- The Impact of 5G on Real-time Dermatology Consultations
- Community Engagement in Skin Cancer Prevention Program
- Personalized Treatment Plans: AI-Driven Decision Support for Optimal Care Paths
- Early Intervention and Prevention: Leveraging AI and IoT for Sun Protection and Risk Management
- Remote Patient Monitoring: Supporting Treatment Adherence and Early Intervention