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Updated: Jun 21, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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儿童骨质疏松症诊断中的人工智能:使用手腕X射线评估深度网络分类和模型解释性.

Chelsea E Harris1, Lingling Liu1, Luiz Almeida2

  • 1Division of Physics, Engineering, Mathematics, and Computer Science, Delaware State University, 1200 N. Dupont Hwy., Dover, 19901, DE, USA.

Bone reports
|May 9, 2025
PubMed
概括

机器学习模型在儿科手腕X射线中准确地识别了骨质疏松症,达到95.2%的准确性. 可解释的AI提供了洞察力,支持在临床环境中早期诊断骨质疏松症.

关键词:
深度学习是一种深度学习.可解释的人工智能骨质疏松症预测的预测一些X射线图像.

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相关概念视频

Classification of Bones01:18

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The long...