Artificial Intelligence In Radiation Oncology And Biomedical Physics

Author : Gilmer Valdes,Lei Xing
Publisher : CRC Press
Page : 201 pages
File Size : 41,7 Mb
Release : 2023-08-14
Category : Computers
ISBN : 9781000903812

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Artificial Intelligence in Radiation Oncology and Biomedical Physics by Gilmer Valdes,Lei Xing Pdf

This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applications of machine learning for medical physics. AI and machine learning have attracted much recent attention and are being increasingly adopted in medicine, with many clinical components and commercial software including aspects of machine learning integration. General principles and important techniques in machine learning are introduced, followed by discussion of clinical applications, particularly in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. Finally, a futuristic look at the role of AI in radiation oncology is provided. This book brings medical physicists and radiation oncologists up to date with the most novel applications of machine learning to medical physics. Practitioners will appreciate the insightful discussions and detailed descriptions in each chapter. Its emphasis on clinical applications reaches a wide audience within the medical physics profession.

Author : Issam El Naqa,Ruijiang Li,Martin J. Murphy
Publisher : Springer
Page : 336 pages
File Size : 45,5 Mb
Release : 2015-06-19
Category : Medical
ISBN : 9783319183053

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Machine Learning in Radiation Oncology by Issam El Naqa,Ruijiang Li,Martin J. Murphy Pdf

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Author : Issam El Naqa,Martin J. Murphy
Publisher : Springer Nature
Page : 514 pages
File Size : 44,7 Mb
Release : 2022-02-02
Category : Science
ISBN : 9783030830472

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Machine and Deep Learning in Oncology, Medical Physics and Radiology by Issam El Naqa,Martin J. Murphy Pdf

This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Author : Seong K Mun,Sonja Dieterich
Publisher : World Scientific
Page : 393 pages
File Size : 42,7 Mb
Release : 2022-12-27
Category : Science
ISBN : 9789811263552

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Artificial Intelligence In Radiation Oncology by Seong K Mun,Sonja Dieterich Pdf

The clinical use of Artificial Intelligence (AI) in radiation oncology is in its infancy. However, it is certain that AI is capable of making radiation oncology more precise and personalized with improved outcomes. Radiation oncology deploys an array of state-of-the-art technologies for imaging, treatment, planning, simulation, targeting, and quality assurance while managing the massive amount of data involving therapists, dosimetrists, physicists, nurses, technologists, and managers. AI consists of many powerful tools which can process a huge amount of inter-related data to improve accuracy, productivity, and automation in complex operations such as radiation oncology.This book offers an array of AI scientific concepts, and AI technology tools with selected examples of current applications to serve as a one-stop AI resource for the radiation oncology community. The clinical adoption, beyond research, will require ethical considerations and a framework for an overall assessment of AI as a set of powerful tools.30 renowned experts contributed to sixteen chapters organized into six sections: Define the Future, Strategy, AI Tools, AI Applications, and Assessment and Outcomes. The future is defined from a clinical and a technical perspective and the strategy discusses lessons learned from radiology experience in AI and the role of open access data to enhance the performance of AI tools. The AI tools include radiomics, segmentation, knowledge representation, and natural language processing. The AI applications discuss knowledge-based treatment planning and automation, AI-based treatment planning, prediction of radiotherapy toxicity, radiomics in cancer prognostication and treatment response, and the use of AI for mitigation of error propagation. The sixth section elucidates two critical issues in the clinical adoption: ethical issues and the evaluation of AI as a transformative technology.

Author : Iori Sumida
Publisher : Unknown
Page : 0 pages
File Size : 42,8 Mb
Release : 2022
Category : MEDICAL
ISBN : 0750333391

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Artificial Intelligence in Radiation Therapy by Iori Sumida Pdf

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

Author : Barry S. Rosenstein,Tim Rattay,John Kang
Publisher : Academic Press
Page : 480 pages
File Size : 52,9 Mb
Release : 2023-12-02
Category : Science
ISBN : 9780128220016

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Machine Learning and Artificial Intelligence in Radiation Oncology by Barry S. Rosenstein,Tim Rattay,John Kang Pdf

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology. Presents content written by practicing clinicians and research scientists, allowing a healthy mix of both new clinical ideas as well as perspectives on how to translate research findings into the clinic Provides perspectives from artificial intelligence (AI) industry researchers to discuss novel theoretical approaches and possibilities on academic collaborations Brings diverse points-of-view from an international group of experts to provide more balanced viewpoints on a complex topic

Author : Gilmer Valdes,Lei Xing
Publisher : CRC Press
Page : 185 pages
File Size : 49,6 Mb
Release : 2023-08-14
Category : Computers
ISBN : 9781000903751

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Artificial Intelligence in Radiation Oncology and Biomedical Physics by Gilmer Valdes,Lei Xing Pdf

This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applications of machine learning for medical physics. AI and machine learning have attracted much recent attention and are being increasingly adopted in medicine, with many clinical components and commercial software including aspects of machine learning integration. General principles and important techniques in machine learning are introduced, followed by discussion of clinical applications, particularly in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. Finally, a futuristic look at the role of AI in radiation oncology is provided. This book brings medical physicists and radiation oncologists up to date with the most novel applications of machine learning to medical physics. Practitioners will appreciate the insightful discussions and detailed descriptions in each chapter. Its emphasis on clinical applications reaches a wide audience within the medical physics profession.

Author : Jacob Van Dyk
Publisher : Unknown
Page : 522 pages
File Size : 40,5 Mb
Release : 2020-09
Category : Electronic
ISBN : 1951134028

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The Modern Technology of Radiation Oncology, Volume 4 by Jacob Van Dyk Pdf

Once again Jacob Van Dyk has brought together an esteemed group of international experts to describe the latest radiation oncology tools and techniques in volume 4 of "The Modern Technology of Radiation Oncology."Technological advancements in radiation oncology continue at a very rapid pace. The goal of The Modern Technology of Radiation Oncology is to provide state-of-the-art information on making these technologies available in the clinic. New topics addressed in Volume 4 include: surface-guided radiation therapy (RT), PET/MRI, real-time MRI guidance, robust optimization, automated treatment planning, artificial intelligence, adaptive RT, machine learning, big data, radiomics, particle therapy RBE, nanoparticle applications, economic considerations, global medical physics activities, global access to RT, and FLASH RT. These volumes have not only been valued by medical physicists in clinical practice around the world, but also by those in residency programs and in preparation for their certification exams.

Author : Jun Deng,Lei Xing
Publisher : CRC Press
Page : 355 pages
File Size : 53,9 Mb
Release : 2019-03-07
Category : Science
ISBN : 9781351801119

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Big Data in Radiation Oncology by Jun Deng,Lei Xing Pdf

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.

Author : Lei Xing,Maryellen L. Giger,James K. Min
Publisher : Academic Press
Page : 570 pages
File Size : 52,6 Mb
Release : 2020-09-03
Category : Medical
ISBN : 9780128212585

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Artificial Intelligence in Medicine by Lei Xing,Maryellen L. Giger,James K. Min Pdf

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Author : Anthony R. Benedetto,H.K. Huang,Don P. Ragan
Publisher : American Institute of Physics
Page : 436 pages
File Size : 55,6 Mb
Release : 1990
Category : Medical
ISBN : UOM:39015024954052

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Computers in Medical Physics by Anthony R. Benedetto,H.K. Huang,Don P. Ragan Pdf

The 1988 AAPM Summer School explored the modern world of computers, with special emphasis on applications in medical physics. Authors of the articles in this book, who were also presenters at the Summer School, were asked to assume that the attendee reader was familiar with computers in general but was not a computer scientist or a hacker. The manuscripts were reviewed by at least two experts prior to inclusion in this book. Since not all presenters submitted manuscripts, this volume is not a proceeding in the traditional sense.

Author : Lia Morra,Silvia Delsanto,Loredana Correale
Publisher : CRC Press
Page : 165 pages
File Size : 45,6 Mb
Release : 2019-11-25
Category : Science
ISBN : 9781000753080

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Artificial Intelligence in Medical Imaging by Lia Morra,Silvia Delsanto,Loredana Correale Pdf

Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective

Author : Jun Deng,Issam El Naqa,Lei Xing
Publisher : Frontiers Media SA
Page : 146 pages
File Size : 52,5 Mb
Release : 2019-01-21
Category : Electronic
ISBN : 9782889457304

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Machine Learning With Radiation Oncology Big Data by Jun Deng,Issam El Naqa,Lei Xing Pdf

Author : Dan Nguyen,Lei Xing,Steve Jiang
Publisher : Springer Nature
Page : 172 pages
File Size : 40,5 Mb
Release : 2019-10-10
Category : Computers
ISBN : 9783030324865

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Artificial Intelligence in Radiation Therapy by Dan Nguyen,Lei Xing,Steve Jiang Pdf

This book constitutes the refereed proceedings of the First International Workshop on Connectomics in Artificial Intelligence in Radiation Therapy, AIRT 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers discuss the state of radiation therapy, the state of AI and related technologies, and hope to find a pathway to revolutionizing the field to ultimately improve cancer patient outcome and quality of life.

Author : Euclid Seeram,Vijay Kanade
Publisher : Springer
Page : 0 pages
File Size : 55,5 Mb
Release : 2024-08-22
Category : Medical
ISBN : 3031640489

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Artificial Intelligence for Medical Imaging Technology by Euclid Seeram,Vijay Kanade Pdf

This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.