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  • Artificial Intelligence and Machine Learning in Healthcare

    Artificial Intelligence and Machine Learning in Healthcare by Kilic, Arman;

      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 175.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        74 235 Ft (70 700 Ft + 5% VAT)
      • Discount 10% (cc. 7 424 Ft off)
      • Discounted price 66 812 Ft (63 630 Ft + 5% VAT)

    74 235 Ft

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    Product details:

    • Publisher Academic Press
    • Date of Publication 1 September 2025

    • ISBN 9780128225189
    • Binding Paperback
    • No. of pages300 pages
    • Size 234x190 mm
    • Language English
    • Illustrations 80 illustrations (30 in full color)
    • 700

    Categories

    Long description:

    Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning, Applications of AI and ML in Healthcare, The Future of Healthcare with AI, Challenges to Adopting AI in Healthcare, and ethics and legal processes for implementation.

    This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare.

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    Table of Contents:

    Part I: History and Basic Overview of AI and ML
    1. Historical Background of AI and ML
    2. Introduction to AI and ML Techniques
    3. Supervised Learning
    4. Unsupervised Learning
    5. Deep Learning

    Part II: Applications of AI and ML in Healthcare
    6. Primary Care
    7. Ophthalmology
    8. Oncology
    9. Radiology
    10. Emergency Medicine
    11. Intensive Care Unit
    12. Cardiovascular Medicine and Surgery
    13. Data Extraction and Quality Control in the Electronic Health Record

    Part III: The Future of Healthcare with AI
    14. Wearable Technology
    15. Software for Automated Interpretation of Medical Imaging
    16. Software for Clinical Decision Support
    17. The Impact of AI on Healthcare Finance

    Part IV: Challenges to Adopting AI in Healthcare
    18. Ethical Challenges
    19. Legal Processes Required to Implement AI in Healthcare
    20. Gaining Patients' Trust in AI for their Healthcare

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