在面部女性化手术后使用面部识别软件感知年龄和性别感知
David P Alper1, Mariana N Almeida1, Helia Hosseini1
1Division of Plastic Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
The Journal of craniofacial surgery
|September 4, 2023
概括
面部女性化手术 (FFS) 显著改善女性性别认知,并降低跨性别女性的年龄认知. 然而,患者满意度与人工智能决定的性别认知没有直接联系,而是与更年轻的手术年龄有关.
科学领域:
- 整形外科 整形外科 整形外科
- 人工智能的人工智能
- 跨性别者健康 跨性别者健康
背景情况:
- 面部女性化手术 (FFS) 旨在使面部特征与女性性别认同保持一致.
- 需要客观的FFS成功措施,超出患者报告.
- 人工智能 (AI) 为客观面部分析提供了新的工具.
研究的目的:
- 使用人工智能面部识别软件客观评估FFS结果.
- 评估FFS后男性转为女性的跨性别患者感知性别和年龄的变化.
- 探索AI评估的面部变化与患者满意度之间的关系.
主要方法:
- 通过使用亚马逊的人工智能面部识别软件,分析了27名跨性别女性手术前和手术后的面部图像.
- 人工智能评估包括感知性别,女性的信心评分和感知年龄.
- 使用FACE-Q模块测量患者满意度.
主要成果:
- 在FFS之后,女性的性别认知从48.1%增加到74.1% (P=0.05).
- 女性的自信度得分显著改善 (0.04到0.39,P=0.003).
- 感知年龄降低了2.4年 (P<0.001),老年患者的降低更大.
结论:
- FFS增强了感知女性的性质,并降低了转女性个体的感知年龄.
- 人工智能工具为FFS有效性提供客观指标.
- 患者满意度与年轻的手术年龄相关,而不仅仅是人工智能驱动的性别认知改进.
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