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基于MRI的多个解剖学参数预测术后尿失禁的人工智能方法

Jiakun Li1,2, Xuemeng Fan1,2, Tong Tang2,3

  • 1Department of Urology, West China Hospital, Sichuan University, Chengdu, China.

Heliyon
|September 28, 2023
PubMed
概括

深度学习模型可以使用MRI测量预测前列腺癌手术后的尿失禁. 可解释的人工智能识别了关键的解剖特征,帮助临床决策,改善了机器人辅助激进前列腺切除术 (RARP) 后的患者结果.

关键词:
临床实践中的临床实践可解释的深度神经网络模型预测 预测 预测机器人辅助的激进性前列腺切除术尿失禁就是尿失禁.

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