Article

Clinical Note Comparison and Data Retrieval Via Embedding Vectors: Model Selection, Metrics, and Convergence

2026-05-18

Abstract excerpt

<h4>Background</h4> Embedding models are an integral part of generative AI architectures, transforming text into embedding vectors that represent semantic content in numerical form. Despite their central role, their performance in clinical settings remains underexplored. We evaluate embedding models across two tasks: semantic difference detection in clinical texts, and data retrieval from patient records. <h4>M...

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Literature Corpus work: f13d3e53-ab97-55a7-b950-1c36843e2d2b
DOI: 10.64898/2026.05.12.26352832

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