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Muhammad Tahir Naseem1, Na-Hyun Kim1, Haneol Seo1

  • 1Laboratory of Computer Vision and Human Visual Perception, Department of Electronic Engineering, Yeungnam University, Gyeongsan, Republic of Korea.

Frontiers in public health
|December 12, 2024
PubMed
概括

这项研究表明,人工智能可以使用脚压和骨数据来检测sarcopenia. 这两种方法都显示出对类病的分类潜力,有助于早期诊断这种与年龄相关的肌肉疾病.