Artificial intelligence has revolutionized various industries, and now it is making waves in the field of medicine. In the realm of radiation therapy, where accuracy and efficiency are crucial, AI has emerged as a powerful tool to automate and enhance various aspects of treatment planning. “Artificial Intelligence in Radiation Therapy” by Iori Sumida explores the applications of AI in the context of the clinical radiotherapy workflow, providing invaluable insights and resources for practitioners and researchers in the field.

The book begins with an introductory section that highlights the need for AI in improving the accuracy and efficiency of radiotherapy treatment planning. It lays the foundation by introducing the basic learning methods and potential applications of AI in radiotherapy. The author also generously includes typical source codes that readers can use to implement their own neural networks for radiotherapy planning.

Structured over the radiotherapy workflow, the book systematically explores how AI contributes to the future of radiotherapy. Each chapter focuses on a specific stage of the workflow, providing detailed explanations and examples of how AI can be applied to enhance accuracy and efficiency. From image segmentation and dose prediction to treatment plan optimization and outcome prediction, the book covers a wide range of applications that showcase the potential of AI in revolutionizing radiation therapy.

One of the notable features of this book is the inclusion of typical source codes. This allows readers to not only understand the concepts and theories behind AI in radiotherapy but also provides them with practical tools to implement AI algorithms in their own work. Whether you are a seasoned practitioner or a graduate student focusing on medical physics, this book serves as a valuable resource for understanding and developing AI solutions in the field of radiation therapy.

With its comprehensive coverage and practical resources, “Artificial Intelligence in Radiation Therapy” is an excellent text for experienced practitioners, researchers, and members of the medical physics community. It is also a useful guide for students and graduate students looking to gain a deeper understanding of the role of AI in radiotherapy.

Now more than ever, the integration of AI in medical science is essential. As technology continues to advance, AI has the potential to revolutionize the field of radiation therapy, improving patient outcomes and enhancing the overall quality of care. “Artificial Intelligence in Radiation Therapy” equips readers with the knowledge and resources to be at the forefront of this revolution.