Large language models are few-shot clinical information extractors

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 287× · AI/ML
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Large language models are few-shot clinical information extractors

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Large language models are few-shot clinical information extractors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Large language models are few-shot clinical information extractors. Retrieved May 24, 2026, from https://4ort.xyz/entity/large-language-models-are-few-shot-clinical-information-extractors
MLA “Large language models are few-shot clinical information extractors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/large-language-models-are-few-shot-clinical-information-extractors.
BibTeX @misc{4ortxyz_large-language-models-are-few-shot-clinical-information-extractors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Large language models are few-shot clinical information extractors}}, year = {2026}, url = {https://4ort.xyz/entity/large-language-models-are-few-shot-clinical-information-extractors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Large language models are few-shot clinical information extractors — https://4ort.xyz/entity/large-language-models-are-few-shot-clinical-information-extractors (retrieved 2026-05-24)

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