Artificial Intelligence in Biomedical and Modern Healthcare Informatics |
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| Editor:
| Ansari, M. A.
Anand, R. S.
Tripathi, Pragati
Mehrotra, Rajat
Heyat, Belal Bin |
| ISBN: | 978-0-443-21871-2 |
| Publication Date: | Sep 2024 |
| Publisher: | Elsevier Science & Technology Books
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| Imprint: | Academic Press |
| Book Format: | Ebook |
| List Price: | USD $150.00USD $180.00 |
Book Description:
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Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of current trends in AI and machine learning within health care diagnosis. Its practical approach in healthcare gives insights into wearable sensors and device modules to help doctors and their patients in enhanced healthcare systems. The book helps readers detect common difficulties and their solutions for early detection and prediction of any disease. In 34 chapters, the...
More Description
Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of current trends in AI and machine learning within health care diagnosis. Its practical approach in healthcare gives insights into wearable sensors and device modules to help doctors and their patients in enhanced healthcare systems. The book helps readers detect common difficulties and their solutions for early detection and prediction of any disease. In 34 chapters, the book provides beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications. With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare.
- Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems
- Includes chapters on various established imaging methods as well as emerging methods such as skin cancer, brain tumor, epileptic seizures, and kidney diseases
- Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples
- Synthesizes the existing international evidence and expert opinion on implementing decommissioning in health care