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Updated: Mar 7, 2026

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
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人工智能用于静脉血栓栓塞的风险分层在手术患者:一个系统的审查

Kavin Shah1, Michael Gadelrab2, Emily A Brennan3

  • 1College of Medicine, Medical University of South Carolina, Charleston, SC, USA. shahkav@musc.edu.

Journal of thrombosis and thrombolysis
|March 6, 2026
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 模型在预测手术患者静脉血栓栓塞 (VTE) 风险方面比传统方法更准确. 需要进一步的研究来解决临床应用的偏见和概括性.

关键词:
人工智能的人工智能是人工智能.机器学习是机器学习.风险分层是指风险的分层.手术患者的手术患者.系统性审查 系统性审查静脉血栓塞栓症是一种静脉血栓塞栓症.

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