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Liangliang Xiang1, Zixiang Gao2, Peimin Yu3,4

  • 1KTH MoveAbility, Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.

概括

可解释的人工智能 (XAI) 增强了用于步态分析的机器学习 (ML),改善了临床决策. 这次审查发现,XAI方法可以识别关键的步态特征,但需要标准化才能更广泛地使用.

相关概念视频

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Machines: Problem Solving II01:30

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