Overview

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.

Full Product Details

Author:   Arman Kilic (Professor and Chief of Cardiothoracic Surgery and Chief of the Heart and Vascular Integrated Center of Clinical Excellence. Medical University, South Carolina) ,  Artur Dubrawski (Endowed Alumni Research Professor Chair of Computer Science and Director, Auton Lab, Carnegie Mellon University, USA)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
ISBN:  

9780128225189

ISBN 10:   0128225181
Pages:   258
Publication Date:   02 December 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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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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Author Information

Arman Kilic, MD is Professor and Chief of Cardiothoracic Surgery and Chief of the Heart and Vascular Integrated Center of Clinical Excellence at the Medical University of South Carolina. He is the John Kratz Endowed Chair in Cardiac Surgery and has published over 350 peer reviewed manuscripts, has served as Principal Investigator on several clinical trials, and is a regularly invited national and international speaker on AI and machine learning in cardiovascular healthcare. He is a member of multiple editorial boards and has received several major extramural grants in AI.

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