Artificial Intelligence In Pet Ct Oncologic Imaging
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Artificial Intelligence In Pet Ct Oncologic Imaging
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Author : John A. Andreou
language : en
Publisher: Springer Nature
Release Date : 2022-10-22
Artificial Intelligence In Pet Ct Oncologic Imaging written by John A. Andreou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-22 with Medical categories.
This book presents artificial intelligence applications that may help in detecting disease, defining tissue characterization (benign vs malignant), staging and correlation with molecular biomarkers. Originally positioned as a means for noninvasive molecular phenotyping and quantification in the 1970s, PET's technological improvements in the 2000s generated renewed interest in quantification, which has grown over the last five years. This progress is parallel with the development of Artificial intelligence (AI) systems for Oncology which aim at providing the best possible treatment to patients suffering from lung, breast, brain, prostate, liver and other types of cancer. The chapters provide an overview of the use of AI in PET/CT imaging for various types of cancer, and it will be an invaluable tool especially for nuclear medicine physicians and oncologists.
Artificial Intelligence And Pet Imaging Part 2 An Issue Of Pet Clinics E Book
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Author : Arman Rahmim
language : en
Publisher: Elsevier Health Sciences
Release Date : 2021-11-27
Artificial Intelligence And Pet Imaging Part 2 An Issue Of Pet Clinics E Book written by Arman Rahmim and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-27 with Medical categories.
In this issue of PET Clinics, guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel bring their considerable expertise to the topic of Artificial Intelligence and PET Imaging. - Provides in-depth, clinical reviews on the latest updates in AI and PET Imaging, providing actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field; Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.
Artificial Intelligence And Imaging For Oncology
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Author : Poonam Yadav
language : en
Publisher: Frontiers Media SA
Release Date : 2025-02-18
Artificial Intelligence And Imaging For Oncology written by Poonam Yadav and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Medical categories.
Recent progress in artificial intelligence (AI) and advanced imaging techniques have brought about exciting diagnostic and therapeutic opportunities in oncology. More and more state-of-the-art CT, PET, and MRI imaging techniques are being applied to tumor imaging, and new interdisciplinary field such as MR-LINAC is booming. We feel there's an urgent need to organize a Research Topic to highlight the application of AI and imaging for various oncology branches such as radiation therapy, as we are witnessing an accelerated integration of imaging and therapy to improve the care of cancer patients. Imaging has also been the backbone of the oncology world. It is used for diagnosis as well as planning. MRI has a superior soft tissue contrast but lacks the electron density information for the dose calculation, alternative approaches use synthetic CT for dose calculation. The development of the MRI-guided system and online adaptation can be considered as the bridge between many specialties, starting from learning about MRI safety by the therapy physicist to the use of AI for robust planning. Active research is done to improve the images (advanced MRI techniques, Nuclear medicine and PET-MRI, synthetic images, CBCT for dose calculation) for clinical workflows. However, all these topics have a lot of room for exploration.
The Application Of Radiomics And Artificial Intelligence In Cancer Imaging
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Author : Jiuquan Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-21
The Application Of Radiomics And Artificial Intelligence In Cancer Imaging written by Jiuquan Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Medical categories.
Novel Methods For Oncologic Imaging Analysis Radiomics Machine Learning And Artificial Intelligence
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Author : Xuelei Ma
language : en
Publisher: Frontiers Media SA
Release Date : 2021-09-23
Novel Methods For Oncologic Imaging Analysis Radiomics Machine Learning And Artificial Intelligence written by Xuelei Ma and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-23 with Medical categories.
Artificial Intelligence Machine Learning In Nuclear Medicine And Hybrid Imaging
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Author : Patrick Veit-Haibach
language : en
Publisher: Springer Nature
Release Date : 2022-06-22
Artificial Intelligence Machine Learning In Nuclear Medicine And Hybrid Imaging written by Patrick Veit-Haibach and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Medical categories.
This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardio-vascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.
Artificial Intelligence And Precision Oncology
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Author : Zodwa Dlamini
language : en
Publisher: Springer Nature
Release Date : 2023-01-21
Artificial Intelligence And Precision Oncology written by Zodwa Dlamini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-21 with Medical categories.
This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology has long been thought of as ideal for the management and treatment of cancer. This strategy promises to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments and predictions to specific individuals or population groups. In order to accomplish these goals, vast amounts of patient or population group specific data needs to be integrated and analysed to be able to identify key patterns or features which can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can be as varied as molecular patterns or features in medical images. This level of data analysis and integration can only be achieved through the use of AI. The book is divided into three parts starting with a section on the use of artificial intelligence for screening, diagnosis and monitoring in precision oncology. The second part: Artificial intelligence and Omics in precision oncology, highlights the use of AI and epigenetics, metabolomics, microbiomics in precision oncology. The third part covers artificial intelligence in cancer therapy and its clinical applications. It also highlights the use of AI tools for risk prediction, early detection, diagnosis and accurate prognosis. This book, written by experts in the field from academia and industry, will appeal to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff and medical residents interested in cancer research as well as those specialising as clinical oncologists.
Nuclear Oncology
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Author : Duccio Volterrani
language : en
Publisher: Springer Nature
Release Date : 2022-10-04
Nuclear Oncology written by Duccio Volterrani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-04 with Medical categories.
This book discusses the role of nuclear medicine in the diagnosis, staging, and treatment of patients with specific cancers. It presents the incidence, pathophysiologic and clinical aspects of the disease, the use of nuclear imaging in diagnosis, staging requirements, management of specific tumors, and surveillance after primary treatment of cancers. It addresses the various diagnostic/therapeutic options that are currently available or are most likely to become available in the near future according to a prioritized approach, thereby keeping to a minimum the number of diagnostic imaging procedures the patient is expected to undergo. Topics include basic science, clinical applications, radionuclide therapy, radioguided surgery, heart disease in the cancer patient, and adverse effects of cancer therapy. Each clinical chapter discusses the radionuclide procedures within an integrated framework, thereby identifying the information required for effective treatment of specific tumors. The book concludes with a series of updated cases that define and expand the didactic material in the clinical application chapters. Thoroughly updated and revised, the third edition incorporates new clinical evidence validating the use of radionuclides for diagnosis and therapy in oncology, new radiotracers, and the growing integration of imaging modalities into different types of hybrid imaging. With contributions from a group of internationally distinguished practitioners, Nuclear Oncology: From Pathophysiology to Clinical Applications, Third Edition, is a valuable reference for nuclear medicine physicians, radiologists, medical and surgical oncologists, and other clinicians involved in the care and management of cancer patients.
Artificial Intelligence In Radiation Oncology And Biomedical Physics
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Author : Gilmer Valdes
language : en
Publisher: CRC Press
Release Date : 2023-08-14
Artificial Intelligence In Radiation Oncology And Biomedical Physics written by Gilmer Valdes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Computers categories.
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.
Artificial Intelligence And Bioinformatics In Cancer An Interdisciplinary Approach
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Author : Nima Rezaei
language : en
Publisher: Springer Nature
Release Date : 2025-05-30
Artificial Intelligence And Bioinformatics In Cancer An Interdisciplinary Approach written by Nima Rezaei and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Medical categories.
The “Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach” is the eighteenth volume of the “Interdisciplinary Cancer Research” series, publishes comprehensive volume on the advances of machine learning and bioinformatics in cancer. The volume starts with a chapter on application of artificial intelligence for early diagnosis of cancer. Then digital health technologies in cancer care and research is discussed. Unveiling cancer complexity: machine learning insights into multi-omics data and the role of integrated bioinformatics in cancer research are also discussed. In silico and biophysical approaches in cancer research and in silico methods and targeted receptors used in cancer studies are explained in the following chapters. The modeling uncertain growth and diffusion in cancer tumors with heterogeneous cell mutations, imaging tumor metabolism and its heterogeneity with special focus on radiomics and artificial intelligence are also discussed. Mathematical modeling of cancer tumor dynamics as well as recent advances in artificial intelligence for cancer treatment are presented, while signature-based drug repositioning for drug discovery employing machine learning tools is also discussed. After a chapter on mathematical analysis of cancer-tumor models, the subsequent chapters discuss on the role of artificial intelligence in colorectal cancer, breast cancer, lung cancer, brain tumor, and cervical cancer. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value for oncologists who wish to have an update on application of artificial intelligence in diagnosis and treatment of cancers.