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

Exp Biol Med (Maywood). 2022 Nov;247(22):1969-1971. doi: 10.1177/15353702221140406. Epub 2022 Nov 25.

Authors

Arash Shaban-Nejad¹, Martin Michalowski², Simone Bianco³, John S Brownstein⁴, David L Buckeridge⁵, Robert L Davis¹

Affiliations

¹ UTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA.
² School of Nursing, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
³ Altos Labs - Bay Area Institute of Science, Redwood City, CA 94065, USA.
⁴ Boston Children's Hospital, Harvard University, Boston, MA 02115, USA.
⁵ Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC H3A 1G1, Canada.

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.

Keywords: AI governance; COVID-19; Health AI; artificial intelligence; ethical AI; human-centered AI; machine learning; multimodal AI.

MeSH terms

Artificial Intelligence*
COVID-19*
Delivery of Health Care
Forecasting
Humans