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Performance of a Small Language Model Versus a Large Language Model in Answering Glaucoma Frequently Asked Patient Questions: Development and Usability Study
Large language models (LLMs) have been shown to answer patient questions in ophthalmology similar to human experts. However, concerns remain regarding their use, particularly related to patient privacy and potential inaccuracies that could compromise patient safety.
Medigy Insights
A specialized small language model (SLM) trained on ophthalmology literature performed comparably to a large language model (LLM) like ChatGPT 4.0 in accurately answering common patient questions about glaucoma, suggesting focused models can match general ones in niche clinical domains.
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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 …
