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Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics
- 1st Edition, Volume 17-1 - November 25, 2021
- Editors: Arman Rahmim, Babak Saboury, Eliot Siegel
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 0 1 3 - 1
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 Imag… Read more
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Request a sales quoteIn 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.
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Forthcoming Issues
- CME Accreditation Page
- Acknowledgment
- Preface
- Special Topics
- Trustworthy Artificial Intelligence in Medical Imaging
- Key points
- Introduction
- Trust and trustworthiness from the theoretic standpoint
- Importance of trustworthiness in artificial intelligence–enabled medicine: dissemination and implementation science
- Key requirements to promote trustworthy artificial intelligence systems
- Summary
- Clinics care points
- Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities
- Key points
- Introduction
- Rare diseases & artificial intelligence opportunities and challenges
- How to enable the development and implementation of rare diseases-aware artificial intelligence solutions
- Emerging applications of artificial intelligence in molecular imaging of rare diseases
- Summary
- Clinics care points
- Acknowledgments and disclosures
- Artificial Intelligence and Positron Emission Tomography Imaging Workflow: Technologists’ Perspective
- Key points
- Introduction
- Nuclear medicine technologists of tomorrow
- Anticipated role of artificial intelligence in technologists workflow
- Important future directions
- Summary
- Clinics care points
- Acknowledgments and disclosures
- Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy
- Key points
- Introduction -
- Discussion
- Regulation of Ai
- Summary: final thoughts and recommendations
- Clinics care points
- Evidence-Based Artificial Intelligence in Medical Imaging
- Key points
- The 5-step evidence-based approach to artificial intelligence in medical imaging
- Summary
- Clinical
- Artificial Intelligence for Brain Molecular Imaging
- Key points
- Introduction
- Evolution of artificial intelligence development for medical imaging
- Applications of artificial intelligence to brain molecular imaging
- Is artificial intelligence going to replace radiologists?
- Practical considerations
- Summary
- Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer
- Key points
- Introduction
- Application of artificial intelligence in head and neck cancer
- Discussion
- Summary
- Clinics care points
- Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer
- Key points
- Lung cancer, precision medicine, and positron emission tomography
- Current clinical value of PET and AI in pulmonary nodules and lung cancer staging
- Current clinical value of positron emission tomography and artificial intelligence in lung cancer treatment strategy
- Summary
- Artificial Intelligence and Cardiac PET/Computed Tomography Imaging
- Key points
- Introduction
- Introduction to artificial intelligence terminology
- Clinical applications
- Future possibilities
- Summary
- Clinics care points
- Artificial Intelligence in Vascular-PET: Translational and Clinical Applications
- Key points
- Introduction
- Emerging applications of positron emission tomography in large vessel pathology
- Current methods for artificial intelligence-based segmentation of vasculature
- Future of vascular positron emission tomography imaging in the world of artificial intelligence
- Summary
- Clinics care points
- Applications of Artificial Intelligence in 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography:: Current State and Future Directions
- Key points
- Introduction
- Current state of artificial intelligence in 18F-sodium fluoride positron emission tomography/computed tomography imaging
- The future of artificial intelligence in 18F-sodium fluoride positron emission tomography/computed tomography imaging
- Summary
- Clinics care points
- Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer
- Key points
- Current artificial intelligence research in prostate cancer positron emission tomography imaging
- Summary
- Clinics care points
- Artificial Intelligence in Lymphoma PET Imaging: A Scoping Review (Current Trends and Future Directions)
- Key points
- Introduction
- Methods
- Results
- Discussion
- Summary
- Clinics care points
- Technical
- Application of Artificial Intelligence in PET Instrumentation
- Key points
- Introduction
- Basics of PET instrumentation
- Event positioning and spatial resolution
- Time-of-flight
- Future prospective of artificial intelligence in PET instrumentation
- Summary
- AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics
- Key points
- Introduction
- Advanced image quantification; the field of radiomics
- Radiomics signatures
- Clinical utility of artificial intelligence-based detection in positron emission tomography/computed tomography: current status
- Clinical utility of artificial intelligence-based classification in positron emission tomography/computed tomography: current status
- Future directions and open questions
- Summary
- Clinics care points
- No. of pages: 240
- Language: English
- Edition: 1
- Volume: 17-1
- Published: November 25, 2021
- Imprint: Elsevier
- Hardback ISBN: 9780323850131
AR
Arman Rahmim
Affiliations and expertise
PET-MRI Imaging Centre, Faculty of MedicineBS
Babak Saboury
Affiliations and expertise
Oncoradiologist and Nuclear Medicine Physician,Lead Radiologist, PET/MRI,Chief Clinical Data Science Officer
Director, Cancer Imaging Informatics,Department of Radiology and Imaging Sciences
National Institutes of Health, Clinical CenterES
Eliot Siegel
Affiliations and expertise
Professor and Vice Chair Research Information Systems University of Maryland,School of Medicine Department of Diagnostic Radiology
Chief Radiology and Nuclear Medicine VA Maryland Healthcare System,Adjunct Professor Computer Science UMBC,
Adjunct Professor Biomedical Engineering UMCP