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Digital Technologies for Clinical, Public and Global Health Surveillance

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AI for Disease Surveillance and Pandemic Intelligence (W3PHAI 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1013))

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Abstract

Digital intelligent technologies are widely used to support the monitoring, detection, and prevention of diseases among individuals or communities. Artificial Intelligence offers a wide range of tools, methodologies, and techniques to collect, integrate, process, analyze and generate insights for improving care and conducting further exploratory and explanatory research. This introductory chapter first sets out the purpose of the book, which is to investigate the role of AI and digital technologies to improve personalized and population health, and then summarizes some of the recent developments in the field and sets up the stage for the rest of chapters in the book.

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Author information

Authors and Affiliations

  1. Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, The University of Tennessee Health Science Center—Oak-Ridge National Lab (UTHSC-ORNL), Memphis, TN, USA

    Arash Shaban-Nejad

  2. School of Nursing, University of Minnesota, Minneapolis, MN, USA

    Martin Michalowski

  3. IBM Corporation, Almaden Research Center, San Jose, CA, USA

    Simone Bianco

Authors
  1. Arash Shaban-Nejad
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  2. Martin Michalowski
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  3. Simone Bianco
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Correspondence to Arash Shaban-Nejad .

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Editors and Affiliations

  1. Oak-Ridge National Lab (ORNL), Department of Pediatrics, Center for Biomedical Informatics, College of Medicine, The University of Tennessee Health Science Center (UTHSC), Memphis, TN, USA

    Arash Shaban-Nejad

  2. School of Nursing, University of Minnesota, Minneapolis, MN, USA

    Martin Michalowski

  3. IBM Almaden Research Center, San Jos, CA, USA

    Simone Bianco

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Shaban-Nejad, A., Michalowski, M., Bianco, S. (2022). Digital Technologies for Clinical, Public and Global Health Surveillance. In: Shaban-Nejad, A., Michalowski, M., Bianco, S. (eds) AI for Disease Surveillance and Pandemic Intelligence. W3PHAI 2021. Studies in Computational Intelligence, vol 1013. Springer, Cham. https://doi.org/10.1007/978-3-030-93080-6_1

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