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OQA: A question-answering dataset on orthodontic literature
2024-07-07
dentistry and oral medicine
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BackgroundThe near-exponential increase in the number of publications in orthodontics poses a challenge for efficient literature appraisal and evidence-based practice. Language models (LM) have the potential, through their question-answering fine-tuning, to assist clinicians and researchers in critical appraisal of scientific information and thus to improve decision-making. MethodsThis paper introduces OrthodonticQA (OQA), the first question-answering dataset in the field of dentistry which is ...
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