Benjamin Schnack Brandt Rasmussen

Diagnostic accuracy & clinical importance of AI confidence for extremity fracture detection: 2,508-patient retrospective cohort

PURPOSE: To estimate diagnostic performance of a deep learning algorithm for extremity fracture detection on radiographs in patients aged ≥ 2 years using a refined reference standard. Secondary, to compare positive predictive value (PPV) by the algorithm's built-in confidence lev...

Clinical and paraclinical parameters association to complications after abdominal closure following vacuum-assisted closure therapy in secondary peritonitis: A retrospective cohort study

Abstract Purpose To evaluate clinical and paraclinical parameters at the time of abdominal closure following vacuum-assisted closure (VAC) therapy in patients with secondary peritonitis, and to identify associations to postoperative complications. Methods This retrospective multi...