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An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
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使用深度学习来预测逆肩关节整形术患者的术后疼痛

Tim Schneller1, Andrea Cina2,3, Philipp Moroder1

  • 1Department of Shoulder and Elbow Surgery, Schulthess Clinic, Zurich, Switzerland.

JSES international
|June 9, 2025
PubMed
概括

这项研究开发了一种深度学习模型,用于在逆向全肩关节整形术 (rTSA) 后预测术后疼痛. 该模型实现了63%的准确性,识别了低疼痛的关键因素,以改善患者的治疗结果.

关键词:
关节质整术是指关节质整术.深度学习是一种深度学习.机器学习 机器学习神经网络的神经网络的神经网络疼痛 疼痛 疼痛 疼痛术后治疗 术后治疗替代品 替代品 替代品 替代品肩膀 肩膀 在肩膀上

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