Can Machine Learning Predict Favorable Outcome After Radiofrequency Ablation of Hepatocellular Carcinoma?

Purpose: The standard practice for limited-stage hepatocellular carcinoma (HCC) is the resection or the use of local ablative techniques, such as radiofrequency ablation (RFA). The outcome after RFA depends on a complex interaction between the patient's general condition, hepatic function, and disease stage. In this study, we aimed to explore using a machine learning model to predict the response.

Clinical characteristics, risk factors and diagnostic outcomes of patients presented with indeterminate biliary stricture: A multicenter study.

Background And Aim: Indeterminate biliary stricture (IBS) is a frequently encountered clinical problem. In this study, we aimed to highlight the clinical characteristics, risk factors and diagnostic outcomes of patients presented with indeterminate biliary stricture.

Method: A Retrospective multicenter study included all patients diagnosed with IBS in the participating centers between 2017 and 2021.

Predictors for Severity of SARS-CoV-2 Infection Among Healthcare Workers.

Background: Healthcare workers (HCWs) are still at higher risk of acquiring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections than the general population. Identifying risk factors associated with severe SARS-CoV-2 infections is of paramount importance to protect HCWs and the non-infected patients attending different healthcare facilities.

Purpose: To recognize the predictors for severity of SARS-CoV2 infection among HCWs working in either COVID-19 or non-COVID-19 healthcare settings.