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The Radiology AI Handbook

Specificaties
Paperback, blz. | Engels
Elsevier Health Sciences | e druk, 2026
ISBN13: 9780323877602
Rubricering
Elsevier Health Sciences e druk, 2026 9780323877602
€ 184,74
Levertijd ongeveer 8 werkdagen

Samenvatting

Artificial intelligence has the potential to transform many areas of medicine and is already a growing factor in the field of radiology. The Radiology AI Handbook offers the current, authoritative information you need in order to better understand AI and how to incorporate it into your daily practice. Written by clinical and computer science experts in AI, this book provides a comprehensive overview of the fundamental concepts, technology, research/development/validation, and regulatory considerations for current and emerging radiology AI applications in each subspecialty.Offers an indispensable introduction to this emerging field, with expert coverage of how AI can best be used in radiologyProvides clear explanations of fundamental concepts in AI and machine learning; current and future applications of AI that may affect the practice of radiology; and how to develop commercially viable AI applications in radiologyDiscusses both interpretive and non-interpretive applications, and includes multiple case studies throughoutServes as both an introduction to AI in radiology for students, trainees, and professionals, as well as a how-to guide for getting started on identifying, developing, testing, and commercializing AI applicationsAn eBook version is included with purchase. The eBook allows you to access all of the text, figures, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud. Additional digital ancillary content may publish up to 6 weeks following the publication date

Specificaties

ISBN13:9780323877602
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>PART I Background<br>1. AI in Radiology—Past and Present<br>2. AI in Radiology—Future<br>3. Technical Principles<br><br>PART II Interpretive Applications<br>4. Interpretive Applications of Artificial Intelligence in Breast Radiology<br>5. Artificial Intelligence in Cardiovascular Imaging<br>6. Interpretive Applications: Chest<br>7. Artificial Intelligence in Emergency Radiology<br>8. Artificial Intelligence in Gastrointestinal Imaging<br>9. Genitourinary<br>10. ArtificiaI Intelligence in Head and Neck Radiology: Current Innovations, Challenges, and Future Directions<br>11. Interpretive Applications: Musculoskeletal<br>12. Neuroradiology<br>13. Interpretive Applications of Artificial Intelligence in Interventional Radiology<br>14. Artificial Intelligence in Nuclear Radiology: Unlocking the Potential for Enhanced Patient<br><br>PART III Noninterpretive Applications<br>15. Patient Facing Noninterpretive Artificial Intelligence Applications<br>16. Navigating the Radiologic Technologist&rsquo;s Landscape: Current Innovations and Future Directions of Artificial Intelligence in Radiology<br>17. Business-Facing Approaches<br>18. Noninterpretive Application of Artificial Intelligence in Radiology:<br>Population Health<br><br>PART IV Develop Your Application<br>19. Data Curation<br>20. Artificial Intelligence Network Training and Validation in Radiology: Recent Developments and Real-World Examples<br>21. Regulatory Considerations for Radiology Artificial Intelligence/Machine Learning Devices<br><br>PART V Case Studies<br>22. Response to COVID With Artificial Intelligence—Assisted Radiologic Diagnosis<br>23. Arterys Artificial Intelligence: Inception, Development, Growth<br>24. Viz.ai—Pioneering Artificial Intelligence in Healthcare</p>
€ 184,74
Levertijd ongeveer 8 werkdagen

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        The Radiology AI Handbook