Generative AI as a Tool for Environmental Health Research Translation.

Generative AI as a Tool for Environmental Health Research Translation.
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生成人工智能作为环境健康研究翻译的工具。

DOI:
10.1029/2023gh000875
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发表时间:
2023-07
期刊:
影响因子:
4.8
通讯作者:
Smith, Ted
Smith, Ted
中科院分区:
医学2区
文献类型:
--
作者:
Anderson, Lauren B;Kanneganti, Dhiraj;Houk, Mary Bentley;Holm, Rochelle H;Smith, Ted

文献摘要

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One valuable application for generative artificial intelligence (AI) is summarizing research studies for non‐academic readers. We submitted five articles to Chat Generative Pre‐trained Transformer (ChatGPT) for summarization, and asked the article's author to rate the summaries. Higher ratings were assigned to more insight‐oriented activities, such as the production of eighth‐grade reading level summaries, and summaries highlighting the most important findings and real‐world applications. The general summary request was rated lower. For the field of environmental health science, no‐cost AI technology such as ChatGPT holds the promise to improve research translation, but it must continue to be improved (or improve itself) from its current capability. Generative artificial intelligence (AI), popularized by services like Chat Generative Pre‐trained Transformer (ChatGPT), has been the source of much recent popular attention for publishing health research AI production of high‐quality plain language summaries could improve access to scientific information ChatGPT holds the promise to improve research translation, but it must continue to be improved from its current capability