Artificial Intelligence in Medicine

Artificial Intelligence in Medicine

A practical, workflow-oriented guide detailing the integration of artificial intelligence into modern healthcare. Written by leading experts, this text bridges the gap between theoretical computer science and clinical practice by exploring how foundational AI techniques are applied to disease detection, diagnostic prediction, and direct patient care. It provides actionable real-world frameworks to guide researchers, medical practitioners, and students through the revolutionary impact of medical AI.

Key Features

• Advanced Neural Architectures: Covers cutting-edge deep learning systems, including vision transformer-based approaches for precise brain tumor detection and cardiac arrhythmia mapping.
• Early-Stage Diagnostics: Details algorithmic models designed for the early detection and prediction of high-impact conditions like skin cancer, ocular diseases, and chest X-ray screening for COVID-19.
• Workflow-Driven Approach: Emphasizes real-world clinical execution, providing practical, step-by-step technical workflows that translate raw computational theories into usable medical scenarios.
• Multidisciplinary Scope: Acts as a strategic blueprint tailored to bridge communication and research pathways between computer scientists, healthcare technicians, and medical professionals.