评估聊天机器人和传统资源在患者干眼疾病教育中的有效性
Gizem Gürbostan Soysal1, Murat Mercanlı2, Zeynep Özer Özcan3
1Gaziantep City Hospital, University of Health Sciences, Gaziantep, Turkey.
Clinical & experimental optometry
|June 26, 2025
概括
人工智能聊天机器人为干眼病患者提供有价值,可理解的信息,补充医疗建议. 虽然准确,但它们的复杂性需要改进,以便更好地访问.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医学教育 医学教育
背景情况:
- 干眼疾病 (DED) 的患病率正在上升,增加了对可访问的患者信息的需求.
- 对当代人工智能聊天机器人与已建立的眼科资源进行评估对于患者教育至关重要.
研究的目的:
- 为了比较人工智能聊天机器人和美国眼科学院 (AAO) 网站对干眼疾病提供的信息质量.
- 评估AI聊天机器人响应的准确性,可理解性,可操作性和可读性.
主要方法:
- 对三个人工智能聊天机器人 (ChatGPT-3.5,Gemini,Llama) 和AAO网站进行系统评估.
- 利用了20个常见的DED患者问题.
- 评估了使用SOLO分类学来确定准确度,使用PEMAT来确定可理解性/可操作性,以及使用Flesch-Kincaid来确定可读性.
主要成果:
- 双子座显示出优越的可理解性 (PEMAT-U得分为73.4),表现优于ChatGPT,Llama和AAO.
- 聊天GPT和双子号显示出高准确度 (平均SOLO分数分别为3.4和3.3).
- 亚奥网站的阅读易度最高,而聊天机器人表现出更高的语言复杂性.
结论:
- 人工智能聊天机器人是干眼疾病的有希望的教育工具,提供可理解和准确的信息.
- 提高聊天机器人的可读性对于克服可访问性障碍至关重要.
- 聊天机器人应该补充,而不是取代DED管理的专业医疗咨询.
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