首页|Department of Medical Physics Reports Findings in Machine Learning (A TPS integrated machine learning tool for predicting patientspecific quality assurance outcomes in volumetric-modulated arc therapy)
Department of Medical Physics Reports Findings in Machine Learning (A TPS integrated machine learning tool for predicting patientspecific quality assurance outcomes in volumetric-modulated arc therapy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Saint-Nazaire, France, by NewsRx correspondents, research stated, “Machinelearning (ML) models have been demonstrated to be beneficial for optimizing the workload of patientspecificquality assurance (PSQA). Implementing them in clinical routine frequently requires third-partyapplications beyond the treatment planning system (TPS), slowing down the workflow.”
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