In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society.
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Chendrasekhar A, Moorman DW, Timberlake GA. An evaluation of the effects of ... Chittiboina P, Wylen E, Ogden A, et al. Traumatic spondylolisthesis of the ...
Hartmann LC, Radisky DC, Frost MH, et al. Understanding the premalignant potential of ... D'Alfonso TM, Wang K, Chiu YL, et al. Pathologic upgrade rates on ...
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1 2 Howard, S. and Johnson, B. (2000) Resilient and Non-resilient Behaviour in ... 4 De Haan, L., Hawley, D. and Deal, J. (2002) 'Operationalizing family ...
... are not fluent in the language/s of the medical care provider.72 Research ... Anglo-Americans have traditionally placed a great deal of emphasis on the ...
This practical guide thoroughly discusses both well-established and new interventions that are applied to the spine for the purpose of pain relief.
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If a picture paints a thousand words, imagine what video can do? Pearson Medical Assisting Videos help users learn the nuances and the details of many medical assisting procedures.