
Artificial Intelligence in Medicine
Technical Basis and Clinical Applications
Description
Key Features
- Provides history and overview of artificial intelligence, as narrated by pioneers in the field
- Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence
- Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach
Readership
Table of Contents
I Introduction
1. Artificial intelligence in medicine: past, present, and future
2. Artificial intelligence in medicine: Technical basis and clinical applicationsII Technical basis
3. Deep learning for biomedical videos: perspective and recommendations
4. Biomedical imaging and analysis through deep learning
5. Expert systems in medicine
6. Privacy-preserving collaborative deep learning methods for multiinstitutional training without sharing patient data
7. Analytics methods and tools for integration of biomedical data in medicineIII Clinical applications
8. Electronic health record data mining for artificial intelligence healthcare
9. Roles of artificial intelligence in wellness, healthy living, and healthy status sensing
10. The growing significance of smartphone apps in data-driven clinical decision-making: Challenges and pitfalls
11. Artifical intelligence for pathology
12. The potential of deep learning for gastrointestinal endoscopy-a disruptive new technology
13. Lessons learnt from harnessing deep learning for real-world clinical applications in ophthalmology: detecting diabetic retinopathy from retinal fundus photographs
14. Artificial intelligence in radiology
15. Artificial intelligence and interpretations in breast cancer imaging
16. Prospect and adversity of artificial intelligence in urology
17. Meaningful incorporation of artificial intelligence for personalized patient management during cancer: Quantitative imaging, risk assessment, and therapeutic outcomes
18. Artificial intelligence in oncology
19. Artificial intelligence in cardiovascular imaging
20. Artificial intelligence as applied to clinical neurological conditions
21. Harnessing the potential of artificial neural networks for pediatric patient management
22. Artificial intelligence—enabled public health surveillance—from local detection to global epidemic monitoring and controlIV Future outlook
23. Regulatory, social, ethical, and legal issues of artificial intelligence in medicine
24. Industry perspectives and commercial opportunities of artificial intelligence in medicine
25. Outlook of the future landscape of artificial intelligence in medicine and new challenges
Product details
- No. of pages: 568
- Language: English
- Copyright: © Academic Press 2020
- Published: September 3, 2020
- Imprint: Academic Press
- eBook ISBN: 9780128212585
- Paperback ISBN: 9780128212592
About the Editors
Lei Xing
Affiliations and Expertise
Maryellen L. Giger
Affiliations and Expertise
James K. Min
Affiliations and Expertise
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