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

  • 1 Edición, Volumen 59-6 - 27 de octubre de 2021
  • Última edición
  • Editor: Daniel L. Rubin
  • Idioma: Inglés

Índice

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

Detalles del producto

  • Edición: 1
  • Última edición
  • Volumen: 59-6
  • Publicado: 2 de noviembre de 2021
  • Idioma: Inglés

Sobre el editor

DR

Daniel L. Rubin

Afiliaciones y experiencia
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