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Trends of Artificial Intelligence and Big Data for E-Health (Hardcover, 1st ed. 2022)
Loot Price: R3,778
Discovery Miles 37 780
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Trends of Artificial Intelligence and Big Data for E-Health (Hardcover, 1st ed. 2022)
Series: Integrated Science, 9
Expected to ship within 10 - 17 working days
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This book aims to present the impact of Artificial Intelligence
(AI) and Big Data in healthcare for medical decision making and
data analysis in myriad fields including Radiology, Radiomics,
Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac
imaging, Neuroradiology, Psychiatry and others. This will include
topics such as Artificial Intelligence of Thing (AIOT), Explainable
Artificial Intelligence (XAI), Distributed learning, Blockchain of
Internet of Things (BIOT), Cybersecurity, and Internet of (Medical)
Things (IoTs). Healthcare providers will learn how to leverage Big
Data analytics and AI as methodology for accurate analysis based on
their clinical data repositories and clinical decision support. The
capacity to recognize patterns and transform large amounts of data
into usable information for precision medicine assists healthcare
professionals in achieving these objectives. Intelligent Health has
the potential to monitor patients at risk with underlying
conditions and track their progress during therapy. Some of the
greatest challenges in using these technologies are based on legal
and ethical concerns of using medical data and adequately
representing and servicing disparate patient populations. One major
potential benefit of this technology is to make health systems more
sustainable and standardized. Privacy and data security,
establishing protocols, appropriate governance, and improving
technologies will be among the crucial priorities for Digital
Transformation in Healthcare.
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