Digital Technologies for Clinical, Public and Global Health Surveillance

Arash Shaban-Nejad, Martin Michalowski, Simone Bianco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationAI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action
EditorsArash Shaban-Nejad, Martin Michalowski, Simone Bianco
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-9
Number of pages9
ISBN (Print)9783030930790
DOIs
StatePublished - 2022
Event5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021 - Virtual, Online
Duration: Feb 8 2021Feb 9 2021

Publication series

NameStudies in Computational Intelligence
Volume1013
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021
CityVirtual, Online
Period2/8/212/9/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Digital health
  • Health intelligence
  • Smart health
  • Surveillance

Fingerprint

Dive into the research topics of 'Digital Technologies for Clinical, Public and Global Health Surveillance'. Together they form a unique fingerprint.

Cite this