患者护理中的人工智能:评估人工智能的准确性和可访问性,以解决白造术的担忧
Olivia Ayad1,2,3, Arsany Yassa4, Aman M Patel5
1Arclivia. A Platform for Innovation & Research in AI Integration, NJ, USA.
International ophthalmology
|June 12, 2025
概括
一个人工智能聊天机器人为白造术候选人提供了很大程度上准确的信息,与医学文献保持一致. 然而,它的可读性可能不适合所有患者,强调需要在医疗保健中谨慎使用人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 在线医疗错误信息的扩散需要可靠的患者信息来源.
- 人工智能 (AI) 为改善获得健康咨询的机会提供了潜在的解决方案.
- 对特定医疗应用的AI工具的评估至关重要.
研究的目的:
- 评估人工智能聊天机器人关于白造术的回应的准确性和可读性.
- 确定人工智能生成的内容是否适合患者理解.
主要方法:
- 关于白喉造形术的常见问题被提出给ChatGPT.
- 答案与学术文献进行了交叉参考,并对准确性进行了审查.
- 使用可读性指标 (Flesch-Kincaid) 和统计分析 (ANOVA).
主要成果:
- 聊天GPT的白喉整形信息通常与现有的医学文献保持一致.
- 可读性得分表明高中复杂程度 (弗莱什-金凯德分级:10.92).
- 在各类问题类别之间没有发现可读性的显著差异.
结论:
- 像ChatGPT这样的AI聊天机器人可以成为获取患者信息的宝贵工具.
- 准确性和适用于不同教育背景的适用性需要仔细考虑.
- 需要进一步改进,以确保人工智能生成的医疗信息始终准确和可访问.
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