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用混合临床和人工智能方法评估面部 Vitiligo 严重程度
Dirk Hillmer1, Ribal Merhi2, Katia Boniface2
1BRIC (BoRdeaux Institute of onCology), INSERM UMR1312, Team 5, University of Bordeaux, Bordeaux, France.
The Journal of investigative dermatology
|August 16, 2023
概括
一个人工智能 (AI) 系统准确地评估了面部白风的严重程度. 这种人工智能工具显示出在临床实践和研究中评估白风的客观,补充方法的潜力.
科学领域:
- 皮肤病学 皮肤病学
- 医疗人工智能 医疗人工智能
- 计算机视觉 计算机视觉
背景情况:
- Vitiligo 是一种普遍存在的皮肤脱色状况.
- 精确评估白风表面积对于评估新疗法至关重要.
- 目前的评分方法可能是耗时和主观的.
研究的目的:
- 开发和验证一个人工智能 (AI) 系统来评估面部白风的严重程度.
- 为白风的评估提供一个客观和有效的工具.
- 将AI评估与专家医生评分进行比较.
主要方法:
- 一个人工智能模型被训练并使用100张面部白风图像进行验证.
- 用69张图像的最终数据集进行了评估.
- 三位专家医生对69张图像进行了评分,并评估了评分器之间的和评分器内的可靠性.
- 人工智能性能与医生得分进行了比较.
主要成果:
- 人工智能系统在评估面部白风的严重程度方面取得了93%的准确性.
- 人工智能模型的得分与专家医生的得分之间观察到很好的一致性.
- 人工智能在评估白风程度方面表现出可靠的性能.
结论:
- 开发的AI系统提供了面部白风的潜在客观评估.
- 这种人工智能工具可以作为临床环境中对人类评估的补充或替代方案.
- 这些发现强调了人工智能在皮肤病评估和研究中的实用性.
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