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OverviewArtificial 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. Full Product DetailsAuthor: Chee-Peng Lim , Ashlesha Vaidya , Yen-Wei Chen , Tejasvi JainPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2023 Volume: 228 Weight: 0.541kg ISBN: 9783031111532ISBN 10: 3031111532 Pages: 231 Publication Date: 27 September 2022 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsAn Introduction to Artificial Intelligence in Healthcare.- Radiomics: Approach to Precision Medicine.- Artificial Intelligence Based Strategies for Data-Driven Radial MRI.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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