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Updated: May 11, 2026

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基于成像的深度学习用于预测Desmoid瘤进展

Rabih Fares1, Lilian D Atlan1, Ido Druckmann1

  • 1Department of Radiology, Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.

Journal of imaging
|May 24, 2024
PubMed
概括

深度学习模型可以使用基线MRI扫描以93%的准确度预测desmoid瘤 (DT) 的进展. 这种人工智能方法有助于对DT患者的风险分层和临床决策.

关键词:
这就是为什么MRI是MRI.人工智能的人工智能是人工智能.在决策过程中做出决定.深度学习是一种深度学习.这种瘤是desmoid瘤.

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