Evidence map›Paper›PMID 36426683›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2022

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

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Arash Shaban-NejadUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA.ORCID 0000-0003-2047-4759
Martin MichalowskiSchool of Nursing, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
Simone BiancoAltos Labs - Bay Area Institute of Science, Redwood City, CA 94065, USA.
John S BrownsteinBoston Children's Hospital, Harvard University, Boston, MA 02115, USA.
David L BuckeridgeDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC H3A 1G1, Canada.
Robert L DavisUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA.
University of Tennessee Health Science Center · USBay Institute · USBoston Children's Hospital · USMcGill University · CAUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceCOVID-19Delivery of Health CareForecastingHumansAI governanceartificial intelligenceCOVID-19ethical AIHealth AIhuman-centered AImachine learningmultimodal AI

Identifiers

PMID36426683
PMCPMC9703021
OpenAlexW4309938386

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.