The book discusses how augmented intelligence can increase the
efficiency and speed of diagnosis in healthcare organizations. The
concept of augmented intelligence can reflect the enhanced
capabilities of human decision-making in clinical settings when
augmented with computation systems and methods. It includes
real-life case studies highlighting impact of augmented
intelligence in health care. The book offers a guided tour of
computational intelligence algorithms, architecture design, and
applications of learning in healthcare challenges. It presents a
variety of techniques designed to represent, enhance, and empower
multi-disciplinary and multi-institutional machine learning
research in healthcare informatics. It also presents specific
applications of augmented intelligence in health care, and
architectural models and frameworks-based augmented solutions.
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