Benchmarking GPT-5, LLaMA, and Mistral for Clinical Named Entity Recognition in Ophthalmology Progress Notes. [PDF]
Majid I, Ruan FY, Wang SY.
europepmc +1 more source
Comparing supervised machine learning and large language models in title-abstract screening. [PDF]
Aigner MF +4 more
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Classifying American Society of Anesthesiologists Physical Status With a Low-Rank-Adapted Large Language Model: Development and Validation Study. [PDF]
Chen MC, Ruan SJ, Wu JH, Chen PF.
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Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation Study. [PDF]
Hu R +10 more
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Korean Large Language Models for Medical Question Answering on Arthritis: Fine-tuning and Comparative Evaluation. [PDF]
Kim JH.
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Large language models pass a standard three-party Turing test. [PDF]
Jones CR, Bergen BK.
europepmc +1 more source
Large Language Model Adaptation Strategies in Speech-Based Cognitive Screening: Systematic Evaluation. [PDF]
Taherinezhad F +8 more
europepmc +1 more source
Enhancing the quality and trustworthiness of large language model-generated summaries of clinical oncology literature. [PDF]
Stenzl A +12 more
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Investigating fine-tuning versus zero-shot learning for general large language models when predicting cancer survival from initial oncology consultation documents. [PDF]
Phaterpekar T +7 more
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