Introduction
AI, Big Data, and Healthcare: Data-Driven Applications (Part 1) examines how artificial intelligence, deep learning and the Internet of Things are reshaping clinical diagnosis and healthcare delivery. Chapters present deep learning for detecting endodontic anomalies and pneumonia in chest X-rays, IoT-based sleep apnea monitoring, the shift to e-hospitals in India, and global frameworks for biotechnology safety. The volume closes by extending these data-driven methods to Industry 4.0 and the Industrial Internet of Things in manufacturing.
Key Features
- - Applied case studies in medical imaging and diagnostics.
- - Covers deep learning, object detection, KNN clustering and IoT.
- - Addresses policy, security and digital health adoption.
- - Connects healthcare AI with Industry 4.0 practices.
Target Readership :
Researchers, graduate students, clinicians, health informaticians, data scientists and digital health policymakers.