Evidence map›Paper›PMID 37904073›Full record

ArticleJournal of general internal medicine2024

Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation.

Leen Bakdash, Areeba Abid, Amritha Gourisankar, Tracey L Henry

Registry-linked trialAbstract readEditorial
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07666399 (Evaluating Artificial Intelligence for Language Translation of Health-related Knowledge Mobilization Resources), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT07666399 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluating Artificial Intelligence for Language Translation of Health-related Knowledge Mobilization Resources: A Randomized Controlled Trial and Qualitative Study

TypeinterventionalSponsorUniversity of AlbertaRan2026 to 2027Enrolled576ConditionsCommunication ResearchArmsKM Resource - English, KM Resource - Professionally Translated, KM Resouce - AI
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. A review of ophthalmology education in the era of generative artificial intelligence.Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
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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

4 authors.

Leen BakdashEmory University School of Medicine, Atlanta, GA, 30322, USA. lbakdas@emory.edu.ORCID 0009-0002-3954-2483
Areeba AbidEmory University School of Medicine, Atlanta, GA, 30322, USA.
Amritha GourisankarEmory University School of Medicine, Atlanta, GA, 30322, USA.
Tracey L HenryDivision of General Medicine, Emory University School of Medicine, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy in improving health outcomes for populations with low English proficiency. This disconnect can often be attributed to the costs and wait-times associated with traditional means of interpretation, making the service inaccessible and burdensome. Technology has improved access to translation through phone and video interpretation; with the acceleration of artificial intelligence (AI) large language models, we have an opportunity to further improve interpreter access through real-time, automated translation. The impetus to utilize this burgeoning tool for improved health equity must be combined with a critical view of the safety, privacy, and clinical decision-making risks involved. Physicians must be active participants and collaborators in both the mobilization of AI tools to improve clinical care and the development of regulations to mitigate harm.

Indexed as

Artificial IntelligenceHealth EquityAllied Health PersonnelClinical Decision-MakingHumansLanguage

Identifiers

PMID37904073
PMCPMC10897100

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.