首页|Findings on Machine Learning Reported by Investigators at University Hospital of Leipzig [Classification of Anatomic Patterns of Peripheral A rtery Disease With Automated Machine Learning (Automl)]
Findings on Machine Learning Reported by Investigators at University Hospital of Leipzig [Classification of Anatomic Patterns of Peripheral A rtery Disease With Automated Machine Learning (Automl)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting from Leipzig, Germany, by New sRx journalists, research stated, “The aim of this study was to investigate the potential of novel automated machine learning (AutoML) in vascular medicine by d eveloping a discriminative artificial intelligence (AI) model for the classifica tion of anatomical patterns of peripheral artery disease (PAD).Material and meth ods Random open-source angiograms of lower limbs were collected using a web-inde xed search. An experienced researcher in vascular medicine labelled the angiogra ms according to the most applicable grade of femoropopliteal disease in the Glob al Limb Anatomic Staging System (GLASS).”
LeipzigGermanyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity Hospital of Leipzig
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