Artificial Intelligence In Positron Emission Tomography


Artificial Intelligence In Positron Emission Tomography
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Artificial Intelligence In Positron Emission Tomography


Artificial Intelligence In Positron Emission Tomography
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Author : Xiaoli Lan
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-02

Artificial Intelligence In Positron Emission Tomography written by Xiaoli Lan 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 2022-03-02 with Medical categories.




Artificial Intelligence In Pet Ct Oncologic Imaging


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 1 An Issue Of Pet Clinics


Artificial Intelligence And Pet Imaging Part 1 An Issue Of Pet Clinics
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Author : Babak Saboury
language : en
Publisher: Elsevier Health Sciences
Release Date : 2021-09-21

Artificial Intelligence And Pet Imaging Part 1 An Issue Of Pet Clinics written by Babak Saboury 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 2021-09-21 with Medical categories.


Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book



Artificial Intelligence And Pet Imaging Part 2 An Issue Of Pet Clinics E Book


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.



Radiomics And Artificial Intelligence In Radiology And Nuclear Medicine


Radiomics And Artificial Intelligence In Radiology And Nuclear Medicine
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Author : Giorgio Treglia
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-14

Radiomics And Artificial Intelligence In Radiology And Nuclear Medicine written by Giorgio Treglia 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 2023-06-14 with Medical categories.




Artificial Intelligence Machine Learning In Nuclear Medicine And Hybrid Imaging


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 Deep Learning In Oncological Radiomics And Challenges Of Interpretability And Data Harmonization


Artificial Intelligence Deep Learning In Oncological Radiomics And Challenges Of Interpretability And Data Harmonization
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Author : Dani Wade
language : en
Publisher:
Release Date : 2021-04-09

Artificial Intelligence Deep Learning In Oncological Radiomics And Challenges Of Interpretability And Data Harmonization written by Dani Wade and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-09 with categories.


AI in oncologyHealthcare is expected to be highly impacted by machine learning (ML)-based artificial intelligence (AI). As deep learning (DL) relying on neural networks trained with large datasets has demonstrated state-of- the-art performances in numerous applications, massive structural changes in information and data processing in this sector are expected. Oncology is especially targeted by these developments, cancer being a major worldwide issue (18.1 million cases and 9.6 million deaths in 2018, respectively 22 and 13 million projected for 2030) [1]. Regarding predictive modeling based on multimodal medical imaging such as CT (computed tomography), PET/CT (positron emission tomography / CT) or MRI (magnetic resonance imaging), both academic and private research rely on ML/DL methods, however their clinical implementation and acceptability are currently lacking.



Artificial Intelligence And Pet Imaging Part 1 An Issue Of Pet Clinics


Artificial Intelligence And Pet Imaging Part 1 An Issue Of Pet Clinics
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Author : Babak Saboury
language : en
Publisher: Elsevier
Release Date : 2021-10-28

Artificial Intelligence And Pet Imaging Part 1 An Issue Of Pet Clinics written by Babak Saboury and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Medical categories.




Positron Emission Tomography


Positron Emission Tomography
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Author : Dale L. Bailey
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-06

Positron Emission Tomography written by Dale L. Bailey and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-06 with Medical categories.


Essential for students, science and medical graduates who want to understand the basic science of Positron Emission Tomography (PET), this book describes the physics, chemistry, technology and overview of the clinical uses behind the science of PET and the imaging techniques it uses. In recent years, PET has moved from high-end research imaging tool used by the highly specialized to an essential component of clinical evaluation in the clinic, especially in cancer management. Previously being the realm of scientists, this book explains PET instrumentation, radiochemistry, PET data acquisition and image formation, integration of structural and functional images, radiation dosimetry and protection, and applications in dedicated areas such as drug development, oncology, and gene expression imaging. The technologist, the science, engineering or chemistry graduate seeking further detailed information about PET, or the medical advanced trainee wishing to gain insight into the basic science of PET will find this book invaluable. This book is primarily repackaged content from the Basic Science section of the 'big' Valk book on PET. It contains new, completely revised and unchanged chapters covering the "basic sciences" section of the main book - total 18 chapters: 2 new (chapters 1, 16) 8 completely revised (chapters 4, 5, 8, 13, 14, 15, 17, 18) 3 minor corrections (chapters 2, 6, 11) 5 unchanged (chapters 3, 7, 9, 10, 12)



Applied Smart Health Care Informatics


Applied Smart Health Care Informatics
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Author : Sourav De
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-07

Applied Smart Health Care Informatics written by Sourav De and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-07 with Technology & Engineering categories.


Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.