Artificial Intelligence and Machine Learning in Healthcare
Editat de Arman Kilicen Limba Engleză Paperback – 30 sep 2025
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.
- 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
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Specificații
ISBN-13: 9780128225189
ISBN-10: 0128225181
Pagini: 300
Ilustrații: 80 illustrations (30 in full color)
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0128225181
Pagini: 300
Ilustrații: 80 illustrations (30 in full color)
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
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
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