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Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, 1st Edition

Editor :

Daniel L. Rubin

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Description

Author Information

Edited by Daniel L. Rubin, MD, MS, Professor of Biomedical Data Science, Radiology, and Medicine Department of Biomedical Data Science Stanford University Medical School Office Building (MSOB) Room X-335, MC 5464 1265 Welch Road Stanford, CA 94305-5479

Product Details

More Information
ISBN Number	9780323813556
Main Author	Edited by Daniel L. Rubin, MD, MS
Copyright Year	2021
Edition Number	1
Format	Book
Trim	178w x 254h (7.00" x 10.00")
Imprint	Elsevier
Page Count	240
Publication Date	1 Nov 2021
Stock Status	IN STOCK - This may take up to 5 business days to ship

Table Of Contents

Basic Artificial Intelligence Techniques: Natural Language Processing of Radiology Reports
Basic Artificial Intelligence Techniques: Machine Learning and Deep Learning
Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence Performance
Optimization of Radiology Workflow with Artificial Intelligence
Upstream Machine Learning in Radiology
Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen
Clinical Artificial Intelligence Applications in Radiology: Neuro
Clinical Artificial Intelligence Applications: Musculoskeletal
Clinical Artificial Intelligence Applications: Breast Imaging
Artificial Intelligence Enabling Radiology Reporting
Artificial Intelligence for Quality Improvement in Radiology
Separating Hope from Hype: Artificial Intelligence Pitfalls and Challenges in Radiology
Regulatory Issues and Challenges to Artificial Intelligence Adoption
Future Directions in Artificial Intelligence

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Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, 1st Edition

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