"寻求公平:在线皮肤癌图像中的白色规范性"
Ashley C Rondini1, Genab Diallo1, Foster Bryant1
1Franklin & Marshall College, Lancaster, PA, USA.
Social science & medicine (1982)
|November 22, 2024
概括
谷歌对皮肤癌信息的图像搜索主要显示浅色皮肤 (96%),深色皮肤 (4%) 严重不足. 这突显了在线健康信息中的种族偏见,不利于肤色较暗的个人.
科学领域:
- 皮肤病学 皮肤病学
- 医疗信息学 医疗信息学
- 健康 公平 卫生 公平
背景情况:
- 非医疗受众经常使用在线图像搜索来获取健康信息.
- 准确的各种皮肤色调的视觉表现对于识别皮肤癌等疾病至关重要.
- 现有的研究表明,在不同的人口统计数据中,健康信息的可访问性存在差异.
研究的目的:
- 分析皮肤色调在谷歌图像搜索结果中的表现,以寻找与皮肤癌相关的术语.
- 识别在线健康信息传播中的潜在偏见.
- 评估视觉资源对寻求皮肤癌信息的不同患者群体的充分性.
主要方法:
- 检查了1600个谷歌图像搜索结果,搜索与皮肤癌相关的术语.
- 使用菲茨帕特里克尺度 (照片 1-6) 分类描绘的皮肤色调.
- 量化了光 (1-3) 和黑 (4-6) 肤色的频率.
主要成果:
- 明亮的皮肤色调 (菲茨帕特里克1-3) 约占图像的96%.
- 黑色皮肤色调 (菲茨帕特里克4-6) 仅占描绘的皮肤色调的4%左右.
- 在皮肤癌搜索结果中观察到黑色皮肤色调的显著不足.
结论:
- 在网上搜索皮肤癌的图像结果显示,皮肤色调较浅的皮肤有较强的偏见.
- 这种差异表明算法中嵌入了种族偏见,可能会使黑人个体处于不利地位.
- 解决这种偏见对于公平的健康信息和患者护理至关重要.
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