Objective: To accurately calculate the risk for postoperative complications and death after
surgery in the preoperative period using machine-learning modeling of clinical data …

Background Technological advances have led to the generation of large amounts of data,
both in surgical research and practice. Despite this, it is unclear how much originates in low …

Artificial intelligence (AI) has made steady in-roads into the healthcare scenario over the last
decade. While widespread adoption into clinical practice remains elusive, the outreach of …

Background Patient satisfaction after total hip (THA) and total knee arthroplasty (TKA) is a
core outcome selected by the Outcomes Measurement in Rheumatology. Up to 20% of …

Background Total hip replacement (THR)/total knee replacement (TKR) studies do not
uniformly measure patient centered domains, pain, and function. We aim to validate existing …

Objetivo: Determinar la influencia de las complicaciones postoperatorias sobre los
resultados clínicos en pacientes operados por cáncer torácico y gastrointestinal. Métodos …

Traditional clinical features are not sufficient to accurately judge the prognosis of
endometrioid endometrial adenocarcinoma (EEA). Molecular biological characteristics and …

Upper urinary tract calculi are common; however, there is no recommended treatment
selection for elderly patients. Ureteroscopic holmium laser lithotripsy (URS lithotripsy) is …

Previous observational studies suggest associations between red blood cell (RBC)
transfusion and risk for arterial or venous thrombosis. We determined the association …

Objetivo: Determinar la influencia de las complicaciones postoperatorias sobre los
resultados clínicos en pacientes operados por cáncer torácico y gastrointestinal. Métodos …