Back to search

Article

Large Language Models at Population Scale: A Survey and Taxonomy of Public Health Applications

2026-06-29

Abstract excerpt

Large language models (LLMs) have been widely studied for individual level clinical tasks, yet their role in public health remains far less systematically understood. Unlike clinical AI, public health operates primarily at the population level, introducing distinct challenges in data modality, reasoning scope, and societal-scale risk. We present the first comprehensive survey of LLM in public health through a two-...

Topics

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

Identifiers and source

Literature Corpus work
0ab2be79-3d5b-5e58-aea0-70682c5edc64
DOI
10.20944/preprints202606.2099.v1
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.
Large Language Models at Population Scale: A Survey and Taxonomy of Public Health ApplicationsDOI 10.20944/preprints202606.2099.v1
Select a neighboring publication to make it the new centre.