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Artificial Intelligence and Machine Learning in Healthcare

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2025
ISBN13: 9780128225189
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Elsevier Science e druk, 2025 9780128225189
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Samenvatting

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.

Specificaties

ISBN13:9780128225189
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

Part I: History and Basic Overview of AI and ML<br>1. Historical Background of AI and ML<br>2. Introduction to AI and ML Techniques<br>3. Supervised Learning<br>4. Unsupervised Learning<br>5. Deep Learning<br><br>Part II: Applications of AI and ML in Healthcare<br>6. Primary Care<br>7. Ophthalmology<br>8. Oncology<br>9. Radiology<br>10. Emergency Medicine<br>11. Intensive Care Unit<br>12. Cardiovascular Medicine and Surgery<br>13. Data Extraction and Quality Control in the Electronic Health Record<br><br>Part III: The Future of Healthcare with AI<br>14. Wearable Technology<br>15. Software for Automated Interpretation of Medical Imaging<br>16. Software for Clinical Decision Support<br>17. The Impact of AI on Healthcare Finance<br><br>Part IV: Challenges to Adopting AI in Healthcare<br>18. Ethical Challenges<br>19. Legal Processes Required to Implement AI in Healthcare<br>20. Gaining Patients’ Trust in AI for their Healthcare

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        Artificial Intelligence and Machine Learning in Healthcare