Article

Large Language Model - Enhanced Decision Tree Framework for Identifying Multiple Sclerosis Diagnoses from Clinical Documentation

2026-07-17

Abstract excerpt

<h4>Background: </h4> Early diagnosis and intervention are crucial in multiple sclerosis (MS), yet diagnostic delays are common. Large language models (LLMs) such as generative pre-trained transformers (GPTs) may help streamline diagnostic workflows by extracting MS diagnostic signals from clinical notes. Objective. To derive MS diagnosis status from the first neurology note using a computable algorithm based on t...

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Literature Corpus work: 1394031f-1351-5dca-904f-eaf24a9955b7
DOI: 10.64898/2026.07.14.26357416

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