
AI and IoT-Enhanced Skin Cancer Detection and Care (Part 1)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
AI and IoT-Enhanced Skin Cancer Detection and Care (Part 1)
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.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Welcome
- Table of Contents
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD
- PREFACE
- List of Contributors
- The Evolving Landscape of Skin Cancer Diagnostics
- Transformation of Skin Cancer Diagnosis with the Utilization of IoT
- AI-powered Imaging for Early Skin Cancer Detection
- Role of IoT in Remote Dermatology Monitoring
- Tele-Dermatology: Enhancing Access to Skin Cancer Experts
- Digital Dermoscopy: Advancements in Visualizing Skin Lesions
- Machine Learning Algorithms for Dermatopathology Analysis
- Enhancing Skin Cancer Detection with Transfer Learning and Deep Learning
- Wearable Devices for Personalized UV Exposure Monitoring