Back to search

Article

How Good Are Large Language Models at Supporting Frontline Healthcare Workers in Low-Resource Settings – A Benchmarking Study & Dataset

2025-08-28

Abstract excerpt

Large language models (LLMs) have demonstrated strong performance in medical contexts; however, existing benchmarks often fail to reflect the real-world complexity of low-resource health systems accurately. This study developed a dataset of 5,609 clinical questions contributed by 101 community health workers (CHWs) across four Rwandan districts and compared responses generated by five large language models (LLMs)...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
038a9a89-72d4-571e-95ff-fae2aa5daf61
DOI
10.1101/2025.08.26.25333975
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
How Good Are Large Language Models at Supporting Frontline Healthcare Workers in Low-Resource Settings – A Benchmarking Study & DatasetDOI 10.1101/2025.08.26.25333975
Select a neighboring publication to make it the new centre.