使用ChatGPT来提高干预放射学程序描述的可读性
Hossam A Zaki1, Michelle Mai2, Hazem Abdel-Megid2
1Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI, USA. hossam_zaki@brown.edu.
聊天GPT可以改善患者的干预放射学 (IR) 程序可读性. 然而,它降低了教育材料的可靠性,需要人类监督以实现最佳的患者沟通.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 患者沟通 患者沟通
背景情况:
- 对于干预性放射学 (IR) 程序的患者教育材料通常具有较低的可读性.
- 提高复杂医疗信息的可访问性对于患者的理解和参与至关重要.
研究的目的:
- 评估ChatGPT在提高干预放射学程序描述的可读性方面的有效性.
- 评估人工智能驱动的简化对患者教育材料的可信性和可靠性的影响.
主要方法:
- 使用了来自欧洲心血管和干预放射学学会 (CIRSE) 的73个干预放射学程序描述.
- 使用Flesch阅读方便 (FRE),炮火雾 (GF) 和自动可读性指数 (ARI) 评估可读性.
- 在ChatGPT简化到五年级阅读水平之前和之后,使用DISCERN仪器测量内容可信度.
主要成果:
- 聊天GPT显著改善了可读性得分:FRE从47.2增加到78.4,而GF和ARI得分大幅下降 (p < 0.001).
- 尽管可读性有所提高,但DISCERN平均分数从3.73降至2.99 (p < 0.001),这表明感知可靠性有所下降.
- 统计分析证实,简化后可读性有了显著的改善,可靠性有了显著的下降.
结论:
- 聊天GPT有效地提高了干预放射病患者材料的可读性.
- 人工智能简化对医疗信息的可靠性和可信性构成风险.
- 人类审查和精细的提示工程对于平衡可读性改进与内容准确性至关重要.
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