儿童耳鼻喉信息的可读性:人工智能生成的内容与谷歌搜索结果的比较
Jonathan M Carnino1,2, Sanjeev Rampam1,2, Elizabeth M Puyo1,2
1Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
概括
像ChatGPT4o这样的人工智能 (AI) 工具可以生成比通过谷歌搜索找到的更复杂,更难读的儿科耳鼻喉患者教育材料,特别是对于更简单的疾病.
科学领域:
- 儿童耳鼻喉科
- 医学教育
- 医疗保健中的人工智能
背景情况:
- 患者教育材料对于儿童耳鼻喉科的知情决策至关重要.
- 评估在线资源的可读性对于确保患者的理解至关重要.
- 像ChatGPT4o这样的人工智能工具的出现需要对其教育内容的质量进行评估.
研究的目的:
- 通过ChatGPT4o生成的关于儿科耳鼻喉科主题的患者教育材料的可读性与通过谷歌搜索获得的材料进行比较.
- 确定人工智能产生的内容是否能提高或阻碍患者和护理人员的可访问性.
主要方法:
- 对10种儿科耳鼻喉疾病的在线教育材料进行了横截面分析.
- 使用六个经过验证的指标来评估可读性:弗莱什-金凯德等级水平 (FKGL),弗莱什阅读易度得分 (FRES),枪指数,SMOG,科尔曼-利乌指数和ARI.
- 人工智能生成的内容与来自谷歌的材料进行了统计比较.
主要成果:
- 聊天GPT4o生成的内容显示了显著更高的FKGL,枪雾,ARI和SMOG分数和更低的FRES分数,表明更大的复杂性 (P < .05).
- 这些可读性差异在过敏性鼻炎和外耳炎等简单疾病中更为明显.
- 对于诸如喉病和口唇裂等复杂疾病,两种来源之间没有显著的可读性差异 (P > .05).
结论:
- 在儿童耳鼻科中,人工智能生成的患者教育材料通常比谷歌来源的内容难以阅读.
- 需要对人工智能产生的材料进行改进,以提高可访问性和清晰度,而不会牺牲准确性.
- 优化人工智能工具可以提高其在儿童耳鼻科教育的实用性.
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