Article

Development of an LLM Pipeline Surpassing Physicians in Cardiovascular Risk Score Calculation

2025-11-13

Abstract excerpt

<h4>Background</h4> Risk scores are essential to evidence-based cardiovascular care, but manual calculation is labor-intensive and error-prone. Large language models (LLMs) could automate this process, yet LLMs are limited by their propensity for calculation errors and factual hallucinations. Pipelines that separate LLM-based data extraction from deterministic score computation may improve reliability and transpa...

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Literature Corpus work: 9bee2a48-c8bd-501c-a6d6-c7a501435339
DOI: 10.1101/2025.11.11.25340002

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