Article

Hazard-aware adaptations bridge the generalization gap in large language models: a nationwide study

2025-02-17

Abstract excerpt

Despite growing excitement in deploying large language models (LLMs) for healthcare, most machine learning studies show success on the same few limited public data sources. It is unclear if and how most results generalize to real-world clinical settings. To measure this gap and shorten it, we analyzed protected notes from over 100 Veterans Affairs (VA) sites, focusing on extracting smoking history—a persistent and...

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Literature Corpus work: 34f233ea-6cbc-5298-b4f0-a5c7f5a94e08
DOI: 10.1101/2025.02.14.25322312

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