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

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

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

Shaban-Nejad A; UTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA.
Michalowski M; School of Nursing, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
Bianco S; Altos Labs - Bay Area Institute of Science, Redwood City, CA 94065, USA.
Brownstein JS; Boston Children's Hospital, Harvard University, Boston, MA 02115, USA.
Buckeridge DL; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC H3A 1G1, Canada.
Davis RL; UTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA.

Exp Biol Med (Maywood) ; : 15353702221140406, 2022 Nov 25.

Article in English | MEDLINE | ID: covidwho-2138980

ABSTRACT

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

Fulltext

XML

PubMed Links

Search on Google

Full text: Available Collection: International databases Database: MEDLINE Topics: Long Covid Language: English Journal: Exp Biol Med (Maywood) Journal subject: Biology / Physiology / Medicine Year: 2022 Document Type: Article Affiliation country: 15353702221140406

Similar

MEDLINE

LILACS

LIS

Fulltext

XML

PubMed Links

Search on Google