Evidence map›Paper›PMID 36048021›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI.

Anne A H de Hond, Marieke M van Buchem, Tina Hernandez-Boussard

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 35 citations in OpenAlex.

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  5. Potential of artificial intelligence in injury prevention research and practice.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2024
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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

3 authors at 2 institutions in 2 countries.

Anne A H de HondClinical AI Implementation and Research Lab, Leiden University Medical Center, Leiden, The Netherlands.
Marieke M van BuchemClinical AI Implementation and Research Lab, Leiden University Medical Center, Leiden, The Netherlands.
Tina Hernandez-BoussardDepartment of Medicine (Biomedical Informatics), Stanford University, Stanford, California, USA.
Stanford University · USLeiden University Medical Center · NL

Funding

Advancing Knowledge Discovery for Postoperative Pain ManagementR01LM013362 · NLM · STANFORD UNIVERSITY · PI HERNANDEZ-BOUSSARD, TINA · 2019 to 2023
$3.2M
NLM NIH HHS R01 LM013362
6 · The paper itself

Abstract

The lack of diversity, equity, and inclusion continues to hamper the artificial intelligence (AI) field and is especially problematic for healthcare applications. In this article, we expand on the need for diversity, equity, and inclusion, specifically focusing on the composition of AI teams. We call to action leaders at all levels to make team inclusivity and diversity the centerpieces of AI development, not the afterthought. These recommendations take into consideration mitigation at several levels, including outreach programs at the local level, diversity statements at the academic level, and regulatory steps at the federal level.

Indexed as

Artificial IntelligencePhysiciansDelivery of Health CareHumans

Identifiers

PMID36048021
PMCPMC9667164
OpenAlexW4294001524

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.