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人类专家和人工智能的比较,从面部行为预测自闭症

Evangelos Sariyanidi¹, Casey J Zampella¹, Ellis DeJardin¹

¹Center for Autism Research, The Children's Hospital of Philadelphia, United States.

CEUR workshop proceedings

|December 1, 2023

概括

人工智能 (AI) 在自闭症诊断方面表现有前途,与临床医师在视频中预测自闭症的准确性相匹配. 人工智能工具可以通过识别人类专家可能错过的诊断来帮助临床医生,改善诊断决策.

科学领域:

计算精神病学是一种计算精神病学.
医疗保健中的人工智能
行为分析行为分析.

背景情况:

人工智能 (AI) 提供了通过自动诊断工具增强心理健康护理的潜力.
在理解人工智能诊断预测如何与人类临床判断相比,存在一个关键的差距.

研究的目的:

为了比较人工智能算法对自闭症谱系障碍的人类评分器 (专家和非专家) 的诊断预测准确度.
评估人工智能作为自闭症诊断临床决策中的辅助工具的实用性.

主要方法:

一个人工智能算法和19个人类评估者 (8名自闭症专家,11名非专家) 预测了自闭症诊断.
预测是基于42名参与自然对话的短 (3分钟) 视频.

主要成果:

人工智能算法达到80.5%的准确率,与自闭症专家 (83.1%) 和非专家 (78.3%) 相比.
人工智能正确诊断了大多数人类评估者 (包括专家) 错过的病例.
人工智能表现显示出显著的潜力,可以增强临床医生的诊断能力.

结论:

人工智能算法在基于行为视频的自闭症诊断中表现出与人类临床医生的可比,有时甚至更高的性能.
人工智能可以作为一种有价值的辅助工具,提供可以补充临床医生的专业知识的见解,并可能提高诊断准确度.

关键词:

辅助医疗保健技术辅助医疗保健技术自闭症自闭症是什么数字化表型化是指数字化表型化.

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