在互联网上发现的疹图像可以作为健康信息的来源吗?
Merve Erkoç1, Makbule Seda Bayrak Durmaz2
1Division of Immunology and Allergy, Adana City Training and Research Hospital, Adana, Turkey.
Allergologia et immunopathologia
|May 9, 2025
概括
许多在线疹图像不准确或质量差. 这项研究评估了英语和土耳其语的疹 (蜂巢) 的互联网图像,发现很大一部分被错误识别或描绘得很差.
科学领域:
- 皮肤病学 皮肤病学
- 医疗信息学 医疗信息学
- 卫生沟通健康沟通
背景情况:
- 患者越来越多地利用信息和通信技术提供健康信息.
- 互联网是医疗状况图像的主要来源.
研究的目的:
- 评估互联网上可用的疹图像的质量和准确性.
- 为了比较英语和土耳其语搜索结果中的图像可用性.
主要方法:
- 谷歌图像搜索使用"疹"和"ürtiker" (土耳其语为疹) 进行.
- 每个搜索术语收集了100张图像,并由过敏/免疫学专家进行分析.
- 评估的参数包括上传者信息,分辨率,病变特征和整体图像质量.
主要成果:
- 分析了178张图像,71.3%的图像描绘了孤立的疹,但26.4%的图像显示了与此无关的疾病.
- 肢体上的红血斑在精确的疹图像中最常见.
- 在谷歌图像预览中查看的图像比直接打开时显著更模糊,分辨率更低.
结论:
- 大约25%的在线疹图像是错误识别的或质量差的.
- 在英语和土耳其语搜索结果中观察到低于最佳的图像质量和准确性.
- 这凸显了在线医疗图像质量控制的必要性.
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