Artificial Intelligence and Machine Learning for Healthcare -

Artificial Intelligence and Machine Learning for Healthcare

Vol. 1: Image and Data Analytics
Buch | Hardcover
XIII, 231 Seiten
2022 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-11153-2 (ISBN)
160,49 inkl. MwSt

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.

An Introduction to Artificial Intelligence in Healthcare.- Radiomics: Approach to Precision Medicine.- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. 

Erscheinungsdatum
Reihe/Serie Intelligent Systems Reference Library
Zusatzinfo XIII, 231 p. 66 illus., 53 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 496 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik Medizintechnik
Schlagworte Ageing populations • Artificial Intelligence • Assistive Technology • Deep learning • Intelligent Technology
ISBN-10 3-031-11153-2 / 3031111532
ISBN-13 978-3-031-11153-2 / 9783031111532
Zustand Neuware
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