Name: Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America
SKU: Elsevier
Price: 121.00 EUR
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Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America

Συγγραφείς: Daniel L. Rubin
ISBN: 9780323813556
Εκδότης: Elsevier
Σελίδες: 240
Έτος Έκδοσης: 2021

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Volume 59-6 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

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 About the Editor Daniel L. Rubin Affiliations and Expertise 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