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@ShahidNShah
@ShahidNShah
Leveraging Large Language Models to Improve the Readability of German Online Medical Texts: Evaluation Study
Patient education materials (PEMs) found online are often written at a complexity level too high for the average reader, which can hinder understanding and informed decision-making. Large language models (LLMs) may offer a solution by simplifying complex medical texts. To date, little is known about how well LLMs can handle simplification tasks for German-language PEMs.
Medigy Insights
Using explainable AI, machine learning models like XGBoost can accurately predict which patients with HIV are likely to have viral nonsuppression (higher viral load), highlighting key risk factors such as recent medication adherence, age, residence, and treatment duration.
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