Editors:
- Presents a sample of recent advances in the theory and applications of artificial intelligence for aging populations
- Focuses on assisting aging populations using the recently evolved artificial intelligence-based paradigms
- Is written by experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 228)
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Table of contents (11 chapters)
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Front Matter
About this book
Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients.
This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.
In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.
Editors and Affiliations
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Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Australia
Chee-Peng Lim
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Department of Geriatric and Rehabilitation Medicine, Royal Adelaide Hospital, Adelaide, Australia
Ashlesha Vaidya
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College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan
Yen-Wei Chen
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HCL Technologies Limited, Noida, India
Tejasvi Jain
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KES International, Shoreham-by-Sea, UK
Lakhmi C. Jain
Bibliographic Information
Book Title: Artificial Intelligence and Machine Learning for Healthcare
Book Subtitle: Vol. 1: Image and Data Analytics
Editors: Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-11154-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-11153-2Published: 27 September 2022
Softcover ISBN: 978-3-031-11156-3Published: 28 September 2023
eBook ISBN: 978-3-031-11154-9Published: 26 September 2022
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIII, 231
Number of Illustrations: 13 b/w illustrations, 53 illustrations in colour
Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Artificial Intelligence, Health Informatics