ReviewInternal medicine journal2026
'Real time, real change': the role of artificial intelligence in providing real-time language translation services in regional medicine.
Review in Internal medicine journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is rapidly evolving worldwide, enabling greater flexibility and applicability to the field of language translation within healthcare. Australia is currently one of the most culturally and linguistically diverse countries in the world, creating a growing pressure on translators to ensure there is equitable and culturally safe access to healthcare services. Emerging research supports the use of AI as an adjunct to the current translator framework in being able to support low-risk communication tasks, such as appointment coordination or simple instructions, but it should be avoided in high-stakes contexts including informed consent or complex management discussions. Importantly, human oversight is needed to ensure clinical accuracy and patient safety during all translations.
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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.