Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world

Arash Shaban-Nejad; Martin Michalowski; Simone Bianco; John S. Brownstein; David L. Buckeridge; Robert L. Davis

doi:10.1177/15353702221140406

Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world

Arash Shaban-Nejad, Martin Michalowski, Simone Bianco, John S. Brownstein, David L. Buckeridge, Robert L. Davis

Academics (Nursing)

Research output: Contribution to journal › Editorial › peer-review

1 Scopus citations

Abstract

This editorial article aims to highlight advances in artificial intelligence (AI) technologies in five areas: Collaborative AI, Multimodal AI, Human-Centered AI, Equitable AI, and Ethical and Value-based AI in order to cope with future complex socioeconomic and public health issues.

Original language	English (US)
Pages (from-to)	1969-1971
Number of pages	3
Journal	Experimental Biology and Medicine
Volume	247
Issue number	22
DOIs	https://doi.org/10.1177/15353702221140406
State	Published - Nov 2022

Bibliographical note

Publisher Copyright:
© 2022 by the Society for Experimental Biology and Medicine.

Keywords

AI governance
COVID-19
Health AI
artificial intelligence
ethical AI
human-centered AI
machine learning
multimodal AI

PubMed: MeSH publication types

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title = "Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world",

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AU - Buckeridge, David L.

AU - Davis, Robert L.

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Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world

Abstract

Bibliographical note

Keywords

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