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Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics

Timely, relevant discussions on AI and PET Imaging

Arman Rahmim (Edited by), Babak Saboury (Edited by), Eliot Siegel (Edited by)

9780323850131, Elsevier Health Sciences

Hardback, published 25 November 2021

240 pages
28 x 19 x 2.1 cm, 0.68 kg

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.

Trustworthy Artificial Intelligence in Medical Imaging
Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities
Artificial Intelligence and Positron Emission Tomography Imaging Workflow: Technologists’ Perspective
Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy
Evidence-Based Artificial Intelligence in Medical Imaging
Artificial Intelligence for Brain Molecular Imaging
Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer
Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer
Artificial Intelligence and Cardiac PET/Computed Tomography Imaging
Artificial Intelligence in Vascular-PET: Translational and Clinical Applications
Applications of Artificial Intelligence in 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography: Current State and Future Directions
Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of
Prostate Cancer
Artificial Intelligence in Lymphoma PET Imaging: A Scoping Review (Current Trends and Future Directions)
Application of Artificial Intelligence in PET Instrumentation
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics

Subject Areas: Radiotherapy [MJCL1]

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