Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, 1st Edition
Editor :
Daniel L. Rubin
Your discount code here : #FB456
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
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 |
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
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
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9780323813556
2021
Professional
Edited by Daniel L. Rubin, MD, MS
2021
1
Book
178w x 254h (7.00" x 10.00")
Elsevier
240
Nov 1, 2021
IN STOCK - This may take up to 5 business days to ship
Edited by <STRONG>Daniel L. Rubin</STRONG>, 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
Clinics
Clinics
The Clinics: Radiology
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