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March 15, 2021 Machine-learning models can predict whether a CT-guided transthoracic biopsy will have complications and if so, how severe they will be, according to researchers from the University of Pennsylvania in Philadelphia. After training and testing machine-learning models on CT-guided biopsies from nearly 1,500 patients, the researchers found that the algorithms could produce a high level of accuracy for predicting complications and their severity. But more importantly, [they could] identify that technical procedural factors mattered the most, and delineate specific factors and their relative importance, thereby allowing an actionable prescription to optimize procedural technique and improve patient safety of transthoracic biopsies, said Dr. Eduardo Mortani Barbosa Jr., who presented the findings in a talk at ECR 2021. ....
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