Artificial Intelligence and Machine Learning in Healthcare

Erscheinungsjahr 2025
ISBN: 978-0-12-822518-9
Verlag: Elsevier Science

Buch, Englisch, 300 Seiten, Format (B × H): 191 mm x 235 mm

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.

Autoren/Hrsg.

Kilic, Arman

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie Spitzentechnologiesektor
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik

Inhaltsverzeichnis

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

Über Autor(innen)

Kilic, Arman
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.