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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.
Part of the renowned The Basics series, Nuclear Medicine Physics helps build foundational knowledge of how and why things happen in the clinical environment. Ideal for board review and reference, the 8th edition provides a practical summary of this complex field, focusing on essential details as well as real-life examples taken from nuclear medicine practice. New full-color illustrations, concise text, essential mathematical equations, key points, review questions, and useful appendices help you quickly master challenging concepts in nuclear medicine physics.
Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book
In this issue of PET Clinics, guest editors Drs. Harshad R. Kulkarni and Abass Alavi bring their considerable expertise to the topic of Prostate Cancer. PET imaging for prostate cancer continues to evolve as new radiotracers and imaging modalities are combined. This issue offers an up-to-date review of the most popular radiotracers and how PET imaging is combined with MR, CT, and ultrasound to provide the most accurate diagnosis of prostate cancer. - Contains 12 practice-oriented topics including the role of ultrasound, CT, and MRI in managing patients with prostate cancer; Ga68 PSMA imaging; PET imaging for prostate cancer using F-18 Fluciclovine; PET imaging for prostate cancer using Ga-68 RM2; the role of NaF PET in the imaging of prostate cancer; and more. - Provides in-depth clinical reviews on prostate cancer, offering 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 clinically significant, topic-based reviews.
This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022. The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training.
In this issue, guest editors bring their considerable expertise to this important topic.Provides in-depth reviews on the latest updates in the field, 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
In light of the dynamic nature of the healthcare industry sector, the analysis supporting business valuation engagements for healthcare enterprises, assets, and services must address the expected economic conditions and events resulting from the four pillars of the healthcare industry: reimbursement, regulation, competition, and technology. This title presents specific attributes of each of these enterprises, assets, and services and how research needs and valuation processes differentiate depending on the subject of the appraisal, the environment the property interest exists, and the nature of the practices.
This Element proposes a clear and up-to-date description of the state of artificial intelligence today, not only in terms of business processes and strategies, but also its societal reception. It presents our view of the technology landscape, avoiding both the forward-looking, rose-colored utopia and the hyper-apocalyptic gloom. It does so in a concise form, addressing a complex issue in 9 concise and easy-to-read chapters. It aims to discuss the current state of machine learning and AI in strategic management, and to describe the emerging technologies. It conceptualizes their adoption, and then consider the effects of AI technologies' maturity in business organizations.
The complexity of issues associated with gating studies with PET imaging are mostly unknown among practitioners of the field, which is posing a significant danger to those who undergo such studies. This is particularly true for respiratory gating examination. Topics in this issue include both basic and clinical topics, including views from radiation oncology physicians.
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 ar...