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Blind Expert Evaluation of Open-Weight LLMs for Thyroid Cancer Patient Education in a Non-English Setting: GPT-OSS-20B vs MedGemma-27B-Instruct

2026-03-13

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Non-English and resource-constrained clinical contexts are underrepresented in current large language models (LLM) benchmarking, making it uncertain whether medical specialization improves patient-facing education when models are deployed locally. Open-weight LLMs are increasingly used for patient education, yet it remains unclear whether medical domain speci...

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Literature Corpus work
00405e48-c866-51a0-a143-5afaaf1e93be
DOI
10.21203/rs.3.rs-8729661/v1
Open publication

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Blind Expert Evaluation of Open-Weight LLMs for Thyroid Cancer Patient Education in a Non-English Setting: GPT-OSS-20B vs MedGemma-27B-InstructDOI 10.21203/rs.3.rs-8729661/v1
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