Artificial Intelligence in Positron Emission Tomography PDF Download

Author: Xiaoli Lan
Publisher: Frontiers Media SA
ISBN: 2889745538
Category : Medical
Languages : en
Pages : 119

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Book Description

Author: Babak Saboury
Publisher: Elsevier Health Sciences
ISBN: 0323835619
Category : Medical
Languages : en
Pages : 225

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

Author: John A. Andreou
Publisher: Springer Nature
ISBN: 3031100905
Category : Medical
Languages : en
Pages : 156

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Book Description
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.

Author: Arman Rahmim
Publisher: Elsevier Health Sciences
ISBN: 0323850146
Category : Medical
Languages : en
Pages : 241

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Book Description
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.

Author: Giorgio Treglia
Publisher: Frontiers Media SA
ISBN: 2832526349
Category : Medical
Languages : en
Pages : 133

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Book Description

Author: Patrick Veit-Haibach
Publisher: Springer Nature
ISBN: 3031001192
Category : Medical
Languages : en
Pages : 217

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Book Description
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.

Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 373

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Book Description
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Author: Dani Wade
Publisher:
ISBN:
Category :
Languages : en
Pages : 52

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Book Description
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.

Author: Priyanka Sharma
Publisher: Academic Guru Publishing House
ISBN: 8197261555
Category : Study Aids
Languages : en
Pages : 215

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Book Description
"Medical Image Processing Using AI" provides a thorough review of the current breakthroughs, methodologies, and applications in medical imaging with artificial intelligence (AI). This book by leading medical imaging and AI researchers delves into the junction of these two fields, giving readers the insights and practical expertise to navigate AI-driven medical image analysis. The book covers medical imaging and AI's fundamental principles and methods, including image acquisition, preprocessing, feature extraction, and machine learning algorithms for medical image processing. Readers master the key principles and strategies needed to use AI in medical imaging via simple explanations and examples. As readers progress through the chapters, they are introduced to a diverse array of clinical applications and use cases where AI has made significant inroads, revolutionizing diagnostic workflows, treatment planning, and patient care across various medical specialties. Real-world case studies and examples illustrate how AI algorithms are being deployed in radiology, pathology, oncology, cardiology, and other fields to enhance diagnostic accuracy, improve treatment outcomes, and optimize clinical decision-making. Moreover, the book explores the ethical considerations, challenges, and future directions shaping the landscape of AI-driven medical image processing. From data privacy and algorithmic bias to regulatory frameworks and clinical integration, readers gain insight into the broader implications of AI in healthcare and the importance of responsible and equitable deployment of AI technologies.

Author: Peter E. Valk
Publisher: Springer Science & Business Media
ISBN: 1846281873
Category : Medical
Languages : en
Pages : 473

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Book Description
This book provides a contemporary reference to the science, technology and clinical applications of PET and PET/CT. The book is designed to be used by residents and fellows training in medical imaging specialties as well as imaging experts in private or academic practice who need to become familiar with this technology and its applications. It is also for use by those whose specialties carry over to PET and PET/CT, referring physicians such as oncologists, cardiologists, neurologists and surgeons. Developed as an offshoot/update of the "clinical practice" portion of the main book, edited by PE Valk et al, published in 2003 (Positron Emission Tomography: basic science and clinical practice), this offshoot covers the second half of the main book only, dealing with mainly the clinical research and practice. Most of the book comprises chapters updated from the "Clinical practice" portion of the main Valk book. It contains 6 brand new chapters and 22 completely revised and updated chapters from the main Valk book.