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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. CME Accreditation Page - p. xiii 8. Acknowledgment - p. xv 9. Preface - p. xvii 10. Special Topics - p. xviii 11. Trustworthy Artificial Intelligence in Medical Imaging - p. 1 12. Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities - p. 13 13. Artificial Intelligence and Positron Emission Tomography Imaging Workflow: Technologists’ Perspective - p. 31 14. Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy - p. 41 15. Evidence-Based Artificial Intelligence in Medical Imaging - p. 51 16. Clinical - p. 55 17. Artificial Intelligence for Brain Molecular Imaging - p. 57 18. Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer - p. 65 19. Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer - p. 77 20. Artificial Intelligence and Cardiac PET/Computed Tomography Imaging - p. 85 21. Artificial Intelligence in Vascular-PET: Translational and Clinical Applications - p. 95 22. Applications of Artificial Intelligence in 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography:: Current State and Future Directions - p. 115 23. Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer - p. 137 24. Artificial Intelligence in Lymphoma PET Imaging: A Scoping Review (Current Trends and Future Directions) - p. 145 25. Technical - p. 174 26. Application of Artificial Intelligence in PET Instrumentation - p. 175 27. AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics - p. 183
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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. CME Accreditation Page - p. xiii 8. Acknowledgment - p. xv 9. Preface - p. xvii 10. Special Topics - p. xviii 11. Trustworthy Artificial Intelligence in Medical Imaging - p. 1 12. Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities - p. 13 13. Artificial Intelligence and Positron Emission Tomography Imaging Workflow: Technologists’ Perspective - p. 31 14. Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy - p. 41 15. Evidence-Based Artificial Intelligence in Medical Imaging - p. 51 16. Clinical - p. 55 17. Artificial Intelligence for Brain Molecular Imaging - p. 57 18. Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer - p. 65 19. Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer - p. 77 20. Artificial Intelligence and Cardiac PET/Computed Tomography Imaging - p. 85 21. Artificial Intelligence in Vascular-PET: Translational and Clinical Applications - p. 95 22. Applications of Artificial Intelligence in 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography:: Current State and Future Directions - p. 115 23. Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer - p. 137 24. Artificial Intelligence in Lymphoma PET Imaging: A Scoping Review (Current Trends and Future Directions) - p. 145 25. Technical - p. 174 26. Application of Artificial Intelligence in PET Instrumentation - p. 175 27. AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics - p. 183
