Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image and Data Analytics (Intelligent Systems Reference Library, 228)

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, leading to savings in terms of cost, time, and lives. This edition on AI and ML for health care 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.

• | Author: Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jain
• | Publisher: Springer
• | Publication Date: Sep 27, 2022
• | Number of Pages: 244 pages
• | Language: English
• | Binding: Hardcover/Technology & Engineering
• | ISBN-10: 3031111532
• | ISBN-13: 9783031111532