人工智能产生的科学文献:批判性评价
Justyna Zybaczynska1, Matthew Norris1, Sunjay Modi1
1Section of Allergy, Asthma & Immunology, Department of Medicine, Pennsylvania State University College of Medicine, Hershey, Pa.
The journal of allergy and clinical immunology. In practice
|October 13, 2023
概括
像GPT-4这样的人工智能 (AI) 工具可以快速生成医学文献,但评论显示内容可能缺乏深度并含有不准确性. 在使用人工智能生成的医疗内容之前,严格的验证是必不可少的.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 科学文献综合科学文献综合
背景情况:
- 评论文章对于医学决策和研究至关重要.
- 人工智能 (AI) 提供了改变医学文献综合学的潜力.
- 开放AI的GPT-4是一种先进的AI工具,能够快速生成医学文献.
研究的目的:
- 批判性地评估人工智能合成的以过敏为中心的小评论.
- 在过敏/免疫学中评估人工智能生成的医学内容的准确性和质量.
主要方法:
- GPT-4聊天机器人生成了两篇1000字的关于遗传性血管和eosinophilic食道炎的评论.
- 作者使用乔安娜·布里格斯研究所 (JBI) 工具进行评估.
- 评估语言,参考质量和内容准确性.
主要成果:
- 人工智能生成的内容是明确的,但缺乏深度和分析严谨性.
- 发现了不准确的信息和伪造的参考资料.
- 人工智能主要使用自由可用的资源,缺少关键细节.
结论:
- 人工智能有可能彻底改变医学文献合成.
- 不准确和伪造的信息需要严格的AI工具评估.
- 验证至关重要,特别是在资源有限的专业领域,对人工智能生成的内容至关重要.
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