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The Radiology AI Handbook

9780323877602
740.83 zł
629.71 zł Save 111.12 zł Tax included
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Teaser
2025-11-01

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Description
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.
Product Details
Elsevier
103492
9780323877602
9780323877602

Data sheet

Publication date
2025
Issue number
1
Cover
paperback
Pages count
500
Dimensions (mm)
152 x 229
Weight (g)
450

  • PART I:  BACKGROUND
    1. Market overview, growth, and why
    2. Fundamental concepts (e.g. AI, ML), vocabulary
    3. Technology principles (e.g. modelling, learning methods, deep learning, sparse coding, big data)

    PART II: APPLICATIONS
    1. Breast (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    2. Cardiovascular (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    3. Chest (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    4. Emergency (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    5. Gastrointestinal (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    6. Genitourinary (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    7. Head and neck (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    8. Musculoskeletal (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    9. Neuroradiology (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    10. Paediatric (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    11. Interventional (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)
    12. Nuclear (Current FDA-approved applications; existing companies; applications under development; opportunities, defined needs)

    PART III: DEVELOP YOUR APPLICATION
    13. Problem (ideation process, what problem are you solving, for whom, value prop, special sauce)
    14. Team (who you need, roles)
    15. R&D, validation process
    16. Regulatory, quality, ethical, legal

    PART IV: COMMERCIALIZATION
    17. Routes of commercialization
    18. Funding- who, how, economics, power
    19. Cases studies (stories of successful rad AI ventures)

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