Artificial intelligence in adaptive radiation therapy /

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Artificial intelligence in adaptive radiation therapy /

Institute of Physics (Great Britain), - Personal Name; Wang, Yi - Personal Name; Qi, X. Sharon, - Personal Name;

"Version: 20251101"--Title page verso.Includes bibliographical references.1. Fundamentals of artificial intelligence / Parsa Bagherzadeh, Laya Rafiee Sevyeri, Yujing Zou and Shirin Abbasinejad Enger -- 2. Introduction to artificial intelligence in radiation therapy / Elizabeth Huynh -- 3. Artificial intelligence in clinical decision making / Xinyu Zhang, Jiang Zhang, Xinzhi Teng, Yuanpeng Zhang and Jing Cai -- 4. Imaging technologies in radiation therapy / Xinru Chen, Cenji Yu, Gregory Sharp and Jinzhong Yang -- 5. Big data for artificial intelligence in radiation oncology / Jie Fu, Sunan Cui and X. Sharon Qi -- 6. Introduction to adaptive radiotherapy / Jack Neylon, Michael Vincent Lauria and Yi Lao -- 7. Overview of artificial-intelligence driven adaptive therapy workflow / Chenyang Shen, Justin Visak, Andrew Godley and Mu-Han Lin -- 8. Imaging, imaging processing, and synthetic computed tomography / Tonghe Wang and Xiaofeng Yang -- 9. Artificial intelligence-based image registration and segmentation / Brian M. Anderson and Kristy K. Brock -- 10. Artificial intelligence-assisted dose prediction and re-planning / Ivan Vazquez, Laurence E. Court and Ming Yang -- 11. Artificial intelligence-based intrafraction motion monitoring for precise adaptive radiation therapy delivery / Lianli Liu and James M. Balter -- 12. Artificial intelligence for quality assurance in adaptive radiation therapy / Sang Kyu Lee and Maria Chan -- 13. Artificial intelligence empowered response prediction and adaptation / Denis Dudas and Issam El Naqa -- 14. Challenges of artificial intelligence implementation in adaptive radiation therapy / Yi Wang and X. Sharon Qi -- 15. Offline computed tomography-based and online cone beam computed tomography-based adaptive radiation therapy / Joel A. Pogue, Natalie Viscariello, Dennis N. Stanley, Joseph Harms, Richard A. Popple and Carlos E. Cardenas -- 16. Artificial intelligence in MRI-guided adaptive radiation therapy / Lauren Smith, Yao Zhao, Jinzhong Yang and X. Sharon Qi -- 17. Functional imaging-guided adaptive radiation therapy / Bin Han and Yu Gao -- 18. Artificial intelligence in proton adaptive radiation therapy / Brian Winey -- 19. Artificial intelligence in clinical trials / Sang Ho Lee, Huaizhi Geng and Ying Xiao -- 20. Safety and training considerations in the clinical implementation of artificial intelligence adaptive radiation therapy / Kelly Nealon and Jennifer Pursley -- 21. Ethical and regulatory considerations in artificial intelligence for adaptive radiation therapy / Dandan Zheng, Megan Hyun and Andrew Fanning -- 22. Recent advances and future of artificial intelligence-augmented adaptive radiation therapy / Oscar Pastor-Serrano, Xianjin Dai and Lei Xing.Full-text restricted to subscribers or individual document purchasers.This book provides a comprehensive overview of the use of artificial intelligence (AI) in radiation therapy (RT), with a particular focus on adaptive radiation therapy (ART). It covers key topics, including AI-driven image processing, automatic segmentation, adaptive replanning and delivery, AI-enhanced quality assurance, clinical decision support, and related safety, educational, regulatory and ethical considerations. As an emerging and rapidly evolving field, AI in ART holds immense potential to enhance precision, efficiency, and treatment outcomes in cancer care. Yet, comprehensive resources remain limited. This book bridges the gap by offering a detailed and practical guide, presenting the latest research and clinical applications to help practitioners and researchers effectively integrate AI into their practice and research. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.Practitioners in radiation therapy, including medical physicists, radiation oncologists, medical dosimetrists, radiation therapy technicians and engineers.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Dr. Yi Wang is a therapeutic medical physicist from Massachusetts General Hospital (MGH) and an Assistant Professor of Radiation Oncology at Harvard Medical School (HMS) in Boston. He leads the Laboratory of Machine Intelligence in Clinical Physics at MGH. As an internationally recognized expert on clinical artificial intelligence for radiation therapy, he serves on multiple AI-related committees and groups in the American Association of Physicists in Medicine (AAPM), including the Machine Intelligence Subcommittee (MIS), the Ad Hoc Advisory Committee on Artificial Intelligence Boot Camps (AHAIBC), as well as serving as the Chair of the Working Group on Generative Artificial Intelligence (WGGenAI) and Vice Chair of the Task Group 384 - clinical implementation of automated segmentation for adaptive radiation therapy (ART). Dr. X. Sharon Qi is a Professor of Medical Physics in the Department of Radiation Oncology and a faculty member of the interdisciplinary Physics and Biology in Medicine (PBM) graduate program at the University of California Los Angeles (UCLA). She is board-certified in therapeutic radiologic physics by the American Board of Radiology and is a Fellow of the American Association of Physicists (FAAPM). Dr Qi's research focuses on the anatomical/biological/functional image guided therapy and adaptive therapy, predictive analytics and modelling, as well as the development and clinical application of AI in RT and ART. As a recognized expert in AI for radiation therapy, Dr Qi serves on multiple committees, subcommittees and task groups within the AAPM, including the Therapy Physics Committee (TPC), Machine Intelligence Subcommittee (MIS), and as chair of the Task group 384 on clinical implementation of automated segmentation for adaptive radiation therapy (ART). Beyond the AAPM, she contributes to national initiatives through leadership and service roles within the American Society for Radiation Oncology (ASTRO) and NRG oncology.Title from PDF title page (viewed on December 1, 2025).

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Series Title: -
Call Number: -
Publisher: : .,
Collation: 1 online resource (various pagings) :illustrations (some color).
Language: English
ISBN/ISSN: 9780750361194
Classification: 616.9940642028563
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): Technology, Radiologic
Cancer
Radiation Oncology
Artificial intelligence
Artificial Intelligence.
Medicine.
Image Processing, Computer-Assisted
HEALTH & FITNESS / General.
Specific Detail Info: -
Statement of Responsibility: edited by Yi Wang, Sharon X. Qi.

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