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

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.

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.

In this issue of PET Clinics, guest editors Drs. Abass Alavi, Habib Zaidi, and Suleman Surti bring their considerable expertise to the topic of Advances in Organ-specific PET Instrumentation and Their Clinical Applications. Top experts cover key topics such as the increasing use of silicon photomultiplier (SiPM) technology, advances in depth-of-interaction (DOI) and time-of-flight (TOF) PET detectors, the use of artificial intelligence technologies for detector development; and more. Contains 11 relevant, practice-oriented topics including advances in PET detectors and readout technologies; whole-gamma imaging; clinical applications of dedicated brain PET; clinical applications of dedicated breast PET; potential clinical applications of dedicated prostate PET; and more. Provides in-depth clinical reviews on advances in organ-specific PET instrumentation and their clinical applications, 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 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.