Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book, 1st Edition
著者情報
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 | 9780323813563 |
|---|---|
| Description Author List | 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 |
| Copyright Year | 2021 |
| Edition Number | 1 |
| Format | E-Book |
| Imprint | Elsevier |
| Page Count | 240 |
| Publication Date | 27 Oct 2021 |
| Stock Status | IN STOCK |
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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