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Artificial Intelligence and Machine Learning in Healthcare

  • 1st Edition - November 19, 2025
  • Latest edition
  • Editor: Arman Kilic
  • Language: English

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 artifi… Read more

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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.

Key features

  • Provides an overview of AI and ML to the medical practitioner who may not be well versed in these fields
  • Encompasses a thorough review of what has been accomplished and demonstrated recently in the fields of AI and ML in healthcare
  • Discusses the future of AI and ML in healthcare, with a review of possible wearable technology and software and how they may be used for medical care

Readership

Clinicians, medical doctors, bioinformaticians, graduate students

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

Product details

  • Edition: 1
  • Latest edition
  • Published: December 8, 2025
  • Language: English

About the editor

AK

Arman Kilic

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.
Affiliations and expertise
Professor and Chief of Cardiothoracic Surgery and Chief of the Heart and Vascular Integrated Center of Clinical Excellence. Medical University, South Carolina

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