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Updated: May 21, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习方法和腹腔镜注释数据预测剩余的手术持续时间

Spiros Kostopoulos1, Dionisis Cavouras1, Dimitris Glotsos1

  • 1Medical Image and Signal Processing Laboratory, Department of Biomedical Engineering, 523391 University of West Attica , Athens, Greece.

Biomedizinische Technik. Biomedical engineering
|March 21, 2025
PubMed
概括

这项研究引入了一种机器学习模型,用于预测腹腔镜胆囊切除术中的剩余手术持续时间 (RSD). 该模型使用手术阶段和工具数据准确预测手术长度,有助于操作室的效率.

关键词:
胆固醇切除术 (cholecystectomy) 是一种切除术.机器学习是机器学习.预测 预测 预测 预测剩余的手术持续时间手术 手术 手术 手术 手术 手术 手术

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