Large language models for reducing clinicians' documentation burden

Kirk Roberts

doi:10.1038/s41591-024-02888-w

2024-04-01

PRE

Kirk Roberts *

DOI：10.1038/s41591-024-02888-w

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摘要

En 中文

Evaluation of a clinical summarization method based on GPT-4 suggests that such models might reduce the documentation burden on clinicians - but prospective evaluation with high-priority tasks will be the true test of its potential.

期刊

Nature Medicine

IF:

论文数:

1.4W

被引数:

13.4W

机构

university of texas system

学者数:

18.5W

论文数: 15.6W

被引数: 210

引用论文

Adapted large language models can outperform medical experts in clinical text summarization 适应的大型语言模型在临床文本摘要方面可以胜过医学专家

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