Artificial Intelligence In Radiation Oncology *US HARDCOVER* by Seong Mun, Sonja Dieterich-9789811263538

Overview

Title: Artificial Intelligence In Radiation Oncology (This title is placeholder, the actual title may vary)
Author: (Authors names would be listed here)
Edition: (Edition number would be listed here)
Key Themes

The potential of AI to revolutionize radiation oncology
Applications of AI in various aspects of radiation treatment
Impact of AI on treatment accuracy, efficiency, and personalization
Challenges and ethical considerations of using AI in healthcare
Features

Comprehensive overview of AI concepts relevant to radiation oncology
Discussion of the latest advancements and research in AI-driven radiotherapy
Clinical use cases and practical applications of AI tools
Exploration of the future directions of AI in radiation oncology
Target Audience

Radiation oncologists
Medical physicists
Dosimetrists
Radiation therapists
Researchers in medical artificial intelligence
Chapter Headlines (Examples)

Introduction: The Rise of AI in Radiation Oncology
AI-powered Image Analysis and Tumor Segmentation
Machine Learning for Treatment Planning Optimization
AI for Predicting Treatment Outcomes and Toxicity
Quality Assurance and Safety in AI-driven Radiotherapy
The Ethical Landscape of AI in Healthcare
The Future of AI in Radiation Oncology: Personalized Medicine and Beyond
Closing Paragraph

The book concludes by emphasizing the transformative potential of AI in radiation oncology. It highlights the need for continuous development, validation, and responsible implementation of AI tools to ensure improved patient outcomes, increased treatment efficiency, and a future of personalized cancer care.