专家精选的数据集用于推断高级肿瘤学概念和与大型语言模型的关系

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专家精选的数据集用于推断高级肿瘤学概念和与大型语言模型的关系
专家精选的数据集用于推断高级肿瘤学概念和与大型语言模型的关系
专家精选的数据集用于推断高级肿瘤学概念和与大型语言模型的关系
专家精选的数据集用于推断高级肿瘤学概念和与大型语言模型的关系
专家精选的数据集用于推断高级肿瘤学概念和与大型语言模型的关系
摘要:

Expert-curated dataset for inference of advanced oncology concepts and relations with large language modelsFebruary 2nd, 2024Madhumita Sushil, PhDUniversity of California, San FranciscoMadhumita.Sushil@ucsf.edu@madhumitasushil•Large language models are trained to generate text seen on the internet and to follow human instructions and preferences, which makes them remarkable in their ability to chat with humans. •These models are being investigated for their promising capability in medicine, including:–Diagnostic assistance–Patient phenotyping–Clinical report summarization•Can the GPT-4 model also extract cancer phenotypes to assist observational studies, clinical care, and clinical documentation?Can large language models like GPT-4 help oncology?•Oncology fellows at UCSF synthesized detailed clinically relevant information in breast and pancreatic cancer progress notes•GPT-4 model was asked to provide details of symptoms, tumor characteristics, radiology, procedures, genetic findings,

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专家精选的数据集用于推断高级肿瘤学概念和与大型语言模型的关系

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