Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics
Title | Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics PDF eBook |
Author | Babak Saboury |
Publisher | Elsevier Health Sciences |
Pages | 225 |
Release | 2021-09-21 |
Genre | Medical |
ISBN | 0323835619 |
Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book
Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics
Title | Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics PDF eBook |
Author | Babak Saboury |
Publisher | Elsevier |
Pages | 240 |
Release | 2021-10-28 |
Genre | Medical |
ISBN | 9780323835602 |
Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics , E-Book
Title | Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics , E-Book PDF eBook |
Author | Arman Rahmim |
Publisher | Elsevier Health Sciences |
Pages | 241 |
Release | 2021-11-27 |
Genre | Medical |
ISBN | 0323850146 |
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 Pet Imaging, Part 2, an Issue of Pet Clinics, 17
Title | Artificial Intelligence and Pet Imaging, Part 2, an Issue of Pet Clinics, 17 PDF eBook |
Author | Arman Rahmim |
Publisher | Elsevier |
Pages | 240 |
Release | 2022-01-28 |
Genre | Medical |
ISBN | 9780323850131 |
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.
Novel PET Imaging Techniques in the Management of Hematologic Malignancies, An Issue of PET Clinics, E-Book
Title | Novel PET Imaging Techniques in the Management of Hematologic Malignancies, An Issue of PET Clinics, E-Book PDF eBook |
Author | Cristina Nanni |
Publisher | Elsevier Health Sciences |
Pages | 145 |
Release | 2024-09-02 |
Genre | Medical |
ISBN | 0443246351 |
In this issue of PET Clinics, guest editors Drs. Cristina Nanni, Paolo Castellucci, Stefano Fanti, and Neeta Pandit-Taskar bring their considerable expertise to the topic of Novel PET Imaging Techniques in the Management of Hematological Malignancies. Top experts in the field discuss the latest radiotracers for lymphoma and myeloma, novel quantitative imaging techniques, radioligand therapies, total body PET imaging; and more. Contains 15 relevant, practice-oriented topics including PET imaging for therapy assessment in Hodgkin and non-Hodgkin lymphomas; symptomatic myeloma: PET, WB-MRI with DWI or both; advantages of total body PET imaging in hematological malignancies; applications of FDG-PET imaging in leukemias; PET imaging for therapy assessment in symptomatic myeloma, including Minimal Residual Disease; and more. Provides in-depth clinical reviews on novel PET imaging techniques in the management of hematological malignancies, 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.
Artificial Intelligence in Medical Imaging
Title | Artificial Intelligence in Medical Imaging PDF eBook |
Author | Erik R. Ranschaert |
Publisher | Springer |
Pages | 373 |
Release | 2019-01-29 |
Genre | Medical |
ISBN | 3319948784 |
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.
Artificial Intelligence in PET/CT Oncologic Imaging
Title | Artificial Intelligence in PET/CT Oncologic Imaging PDF eBook |
Author | John A. Andreou |
Publisher | Springer Nature |
Pages | 156 |
Release | 2022-10-22 |
Genre | Medical |
ISBN | 3031100905 |
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.