Comparing large language models and search engine responses to common orthodontic questions. [PDF]
PLoS OneRen Y, Sun J.
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Methodologies for LLM finetuning and simulation/ augmentation of conversational training data, and applicability to use cases. Comparison with SOTA models. Codebase implementing the fine-tuning on selected datasets.
openaire +1 more source
IoT-LLM: A framework for enhancing large language model reasoning from real-world sensor data. [PDF]
Patterns (N Y)An T, Zhou Y, Zou H, Yang J.
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Artificial Intelligence-Assisted Error Detection in Complex Clinical Documentation: Leveraging Large Language Models to Enhance Patient Safety in Oncology. [PDF]
JCO Clin Cancer InformMay P +7 more
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Making Chatbots more human: deep reasoning large language models in ophthalmology. [PDF]
Front Med (Lausanne)Lin X, Yang Y, Ren Y.
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Evaluating the efficacy of large language models in cardio-oncology patient education: a comparative analysis of accuracy, readability, and prompt engineering strategies. [PDF]
Front Artif IntellWang Z +6 more
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LLMs in Patient-Centric Program Evaluation: Addressing Concerns and Further Considerations. [PDF]
Pain RepOliver KH, Flaherty LR.
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Comparative Performance Evaluation of Large Language Models and Human Teachers in Answering Optometry Questions from Medical Undergraduates. [PDF]
J Med Educ Curric DevHuang Z +7 more
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Empowering liver cancer diagnosis and treatment with foundation models: technological innovation and clinical practice. [PDF]
Clin Exp MedWang J +8 more
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