Overview
- Presents a sample of recent advances in the theory and applications of artificial intelligence paradigms
- Written in a coherent and well-founded way
- Case studies demonstrate the real world applications of AI in the early prognosis and diagnosis of disease
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 229)
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society.
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Intelligence and Machine Learning for Healthcare
Book Subtitle: Vol. 2: Emerging Methodologies and Trends
Editors: Chee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Vaishnavi Jain, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-11170-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-11169-3Published: 30 September 2022
Softcover ISBN: 978-3-031-11172-3Published: 02 October 2023
eBook ISBN: 978-3-031-11170-9Published: 29 September 2022
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIII, 273
Number of Illustrations: 17 b/w illustrations, 59 illustrations in colour