Biomedical Information Technology, Second Edition, edited by David Dagan Feng, delves into practical, integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery. This edition includes the latest advancements in the field such as biomedical sensors, machine intelligence, artificial intelligence, deep learning in medical imaging, neural networks, natural language processing, large-scale histopathological image analysis, virtual, augmented and mixed reality, neural interfaces, and data analytics and behavioral informatics in modern medicine. The enormous growth in biotechnology necessitates information technology for the management, flow, and organization of data.

Contributions from recognized authorities provide “best practices” and equip professionals with up-to-date tools to evaluate the latest advancements. New staff gain technological fundamentals while experienced professionals are updated on practical integrated clinical applications.

All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modeling, processing, registration, visualization, communication, and large-scale biological computing.

ISBN-13: 978-0128160350

Publisher: Academic Press

Publication Date: October 22, 2019

Description: This book offers comprehensive insights into the integration of information technology in modern medicine, highlighting its role in disease management and diagnosis.

– Presents contributions from world-renowned experts

– Provides essential tools for evaluating current advancements in biotechnology

– Updates professionals with the latest practical clinical applications

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