UID:
almahu_9949420159202882
Format:
XIII, 231 p. 66 illus., 53 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031111549
Series Statement:
Intelligent Systems Reference Library, 228
Content:
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.
Note:
An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031111532
Additional Edition:
Printed edition: ISBN 9783031111556
Additional Edition:
Printed edition: ISBN 9783031111563
Language:
English
DOI:
10.1007/978-3-031-11154-9
URL:
https://doi.org/10.1007/978-3-031-11154-9
URL:
Volltext
(URL des Erstveröffentlichers)
