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Applying AI in Medical Imaging. Chapter 4. Designing AI Systems for the Clinical Practice. "Artificial intelligence is on the cusp of integration into clinical practice, so this work by Morra (Polytechnic Univ. of Turin) and colleagues Delsanto and Correale is timely and complements... "Artificial intelligence is on the cusp of integration into clinical practice, so this work by Morra (Polytechnic Univ. of Turin) and colleagues Delsanto and In this book, she shares her decade-long experience in medical imaging research development. Currently, her research focuses on artificial... This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most From Theory to Clinical Practice / Morra, Lia; Delsanto, Silvia; Correale, Loredana. While imaging as a technique in medical practice is increasing, and consequently the workload For a CBIR system to be useful, it must be able to assess the clinical significance of individual features For a problem as diverse and complex as medical imaging, deep learning requires large data sets in... Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. ...of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data. Artificial intelligence (AI) is developing rapidly and becoming integrated into our daily lives. How is AI advancing medical imaging in the diagnostics world? Artificial intelligence (AI) and machine learning are slowly infiltrating our daily lives: think facial recognition in photos, Alexa and voice... Provides a thorough overview of the impact of artificial intelligence (AI) on medical imaging. Includes contributions from radiologists and IT professionals, ensuring a multidisciplinary approach. Makes practical recommendations for the use of AI technology for both clinical and nonclinical applications. 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