Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes
Xinsong Du; John Novoa-Laurentiev; Joseph M. Plasek; Ya‐Wen Chuang; Liqin Wang; Gad A. Marshall; Stephanie Mueller; Frank Chang · 2024 · EBioMedicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Large language models (LLMs) have shown promising performance in various healthcare domains, but their effectiveness in identifying specific clinical conditions in real medical records is less explored. This study evaluates LLMs for detecting signs of cognitive decline in real electronic health record (EHR) clinical notes, comparing their error profiles with traditional models. The insights gained will inform strategies for performance enhancement. METHODS: This study, conducted at Mass General Brigham in Boston, MA, analysed clinical notes from the four years prior to a 2019 diagn
Abstract by Xinsong Du; John Novoa-Laurentiev; Joseph M. Plasek; Ya‐Wen Chuang; Liqin Wang; Gad A. Marshall; Stephanie Mueller; Frank Chang, EBioMedicine (2024) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.ebiom.2024.105401