Artificial Intelligence and Machine Learning for Healthcare Vol. 1: Image and Data Analytics

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 pro...

Full description

Bibliographic Details
Other Authors: Lim, Chee-Peng (Editor), Vaidya, Ashlesha (Editor), Chen, Yen-Wei (Editor), Jain, Tejasvi (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Series:Intelligent Systems Reference Library
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02730nmm a2200385 u 4500
001 EB002091939
003 EBX01000000000000001232031
005 00000000000000.0
007 cr|||||||||||||||||||||
008 221004 ||| eng
020 |a 9783031111549 
100 1 |a Lim, Chee-Peng  |e [editor] 
245 0 0 |a Artificial Intelligence and Machine Learning for Healthcare  |h Elektronische Ressource  |b Vol. 1: Image and Data Analytics  |c edited by Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jain 
250 |a 1st ed. 2023 
260 |a Cham  |b Springer International Publishing  |c 2023, 2023 
300 |a XIII, 231 p. 66 illus., 53 illus. in color  |b online resource 
505 0 |a An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. 
653 |a Health Informatics 
653 |a Biomedical engineering 
653 |a Computational intelligence 
653 |a Medical informatics 
653 |a Artificial Intelligence 
653 |a Computational Intelligence 
653 |a Biomedical Engineering and Bioengineering 
653 |a Artificial intelligence 
700 1 |a Vaidya, Ashlesha  |e [editor] 
700 1 |a Chen, Yen-Wei  |e [editor] 
700 1 |a Jain, Tejasvi  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Intelligent Systems Reference Library 
028 5 0 |a 10.1007/978-3-031-11154-9 
856 4 0 |u https://doi.org/10.1007/978-3-031-11154-9?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.3 
520 |a 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