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罗斯威尔人工智能分类和互联网搜索结果在白血造形术相关查询中
Alexandrea S Collins1, Taylor E Kring1, Mark Jessup1
1University of Miami Leonard M. Miller School of Medicine, Miami.
The Journal of craniofacial surgery
|January 8, 2026
概括
在线关于白造术的信息质量各不相同. 虽然人工智能 (AI) 工具提供比传统搜索结果更可靠的答案,但对患者教育需要仔细监督.
科学领域:
- 眼科医生 眼科 眼科
- 医疗信息学 医疗信息学
- 数字健康数字健康
背景情况:
- 患者越来越多地使用在线搜索引擎和人工智能来获取白造形信息.
- 在线医疗信息的准确性和可靠性,包括人工智能生成的内容,往往是不确定的.
研究的目的:
- 评估在线白造术信息的质量和可靠性.
- 将人工智能生成的答案质量与传统搜索引擎结果进行比较 (人们也会问问题).
主要方法:
- 在一个标准化的谷歌搜索中,使用了十个白造术搜索术语.
- 人工智能响应和前50名
- 人们也会问这个问题
- 问题被收集和分析.
- 评估信息质量是使用医学网站的JAMA基准.
主要成果:
- 大多数在线问题都是基于事实,重点关注技术细节和成本.
- 来自单一外科医生或实践网站的网页具有较低的质量分数 (JAMA分数).
- 人工智能响应主要引用学术来源,并且比传统搜索结果获得更高的JAMA分数.
结论:
- 在线白喉整形信息质量高度变化,往往缺乏可靠性.
- 人工智能工具显示出提供比传统搜索结果更高质量的患者教育的潜力.
- 监管和监督对于确保人工智能生成的医疗信息的准确性至关重要.
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