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Utilizing historical MLC performance data from trajectory logs and service reports to establish a proactive maintenance model for minimizing treatment disruptions

机译:利用来自轨迹日志和服务报告的历史MLC性能数据,建立主动维护模型,以最大限度地减少治疗中断

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摘要

PurposeThis study proposes a proactive maintenance model utilizing historical Multileaf collimator (MLC) performance data to predict potential MLC dysfunctions, promote preemptive maintenance and thereby reduce treatment disruptions.
机译:目的研究提出了利用历史多叶子准直器(MLC)性能数据来预测潜在的MLC功能障碍,促进先发制人的维护,从而减少治疗中断。

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