Artificial Intelligence and Machine Learning in Healthcare
- Publisher's listprice EUR 175.00
-
72 581 Ft (69 125 Ft + 5% VAT)
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.
- Discount 10% (cc. 7 258 Ft off)
- Discounted price 65 323 Ft (62 213 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
72 581 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Elsevier Science
- Date of Publication 5 December 2025
- ISBN 9780128225189
- Binding Paperback
- No. of pages300 pages
- Size 235x191 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.
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
