Article

Large language models for cancer registry abstraction: a real-world evaluation across models, variables, and cancer types

2026-06-29

Abstract excerpt

Cancer registries enable cancer surveillance at the population level. These registries require significant human-time to read through many different parts of the electronic health record, including structured data and lengthy, free-text clinical reports, to abstract values for hundreds of required variables. Large language models (LLMs) offer the possibility to significantly improve this process by supporting and...

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Literature Corpus work: 25425fd9-406b-5dcc-be2a-c5560245540f
DOI: 10.64898/2026.06.25.26356626

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