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Artificial intelligence in radiation therapy / edited by Iori Sumida.

Contributor(s): Sumida, Iori [editor.] | Institute of Physics (Great Britain) [publisher.].
Material type: materialTypeLabelBookSeries: IOP (Series)Release 22: ; IPEM-IOP series in physics and engineering in medicine and biology: ; IOP ebooks2022 collection: Publisher: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]Description: 1 online resource (various pagings) : illustrations (some color).Content type: text Media type: electronic Carrier type: online resourceISBN: 9780750333399; 9780750333382.Subject(s): Radiotherapy -- Data processing | Artificial intelligence | Radiotherapy, Computer-Assisted | Artificial Intelligence | Medical physics | MEDICAL / Radiology, Radiotherapy & Nuclear MedicineAdditional physical formats: Print version:: No titleDDC classification: 615.8/42/0285 Online resources: Click here to access online Also available in print.
Contents:
1. Introduction / Iori Sumida -- 2. Artificial intelligence and machine learning / Omid Nohadani -- 3. Overview of AI applications in radiation therapy / Yang Sheng and Jiahan Zhang -- 4. Introduction to CT/MR simulation in radiotherapy / Iori Sumida and Noriyuki Kadoya -- 5. Organ delineation / Xiao Ying and Men Kuo -- 6. Automated treatment planning / Charles Huang and Lei Xing -- 7. Artificial intelligence in adaptive radiation therapy / Yi Wang, Bin Cai, Leigh Conroy and X. Sharon Qi -- 8. AI-augmented image guidance for radiation therapy delivery / Zhao Wei -- 9. AI for quality management in radiation therapy / Quan Chen, Yi Rong, Zhichao Wang and Tianye Niu -- 10. Data-driven approaches in radiotherapy outcome modeling / Ibrahim Chamseddine, Yejin Kim and Clemens Grassberger -- 11. Challenges in artificial intelligence development of radiotherapy / Huanmei Wu and Jay S. Patel.
Abstract: The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.
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"Version: 20221201"--Title page verso.

Includes bibliographical references.

1. Introduction / Iori Sumida -- 2. Artificial intelligence and machine learning / Omid Nohadani -- 3. Overview of AI applications in radiation therapy / Yang Sheng and Jiahan Zhang -- 4. Introduction to CT/MR simulation in radiotherapy / Iori Sumida and Noriyuki Kadoya -- 5. Organ delineation / Xiao Ying and Men Kuo -- 6. Automated treatment planning / Charles Huang and Lei Xing -- 7. Artificial intelligence in adaptive radiation therapy / Yi Wang, Bin Cai, Leigh Conroy and X. Sharon Qi -- 8. AI-augmented image guidance for radiation therapy delivery / Zhao Wei -- 9. AI for quality management in radiation therapy / Quan Chen, Yi Rong, Zhichao Wang and Tianye Niu -- 10. Data-driven approaches in radiotherapy outcome modeling / Ibrahim Chamseddine, Yejin Kim and Clemens Grassberger -- 11. Challenges in artificial intelligence development of radiotherapy / Huanmei Wu and Jay S. Patel.

The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.

More experienced practitioners and researchers and members of medical physics communities such as AAPM, ASTRO, and ESTRO.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Dr. Iori Sumida is currently Director, Physics and Clinical support, Accuray. Japan, K.K., as well as invited faculty, Osaka University Graduate School of Medicine, Department of Radiation Oncology.

Title from PDF title page (viewed on January 9, 2023).

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