A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...

An artificial intelligence (AI) system flagged high-risk areas on mammograms for potentially missed interval breast cancers (IBCs), which radiologists had also retrospectively identified as abnormal.

Objective Systemic lupus erythematosus (SLE) is associated with increased susceptibility to infections, including herpes ...

Initiating add-on therapy within 2 years of a myasthenia gravis (MG) diagnosis was associated with a stronger and more consistent clinical response, according to a new study published in the Journal ...

Objective To describe the demographic characteristics, causes and temporal patterns of child deaths occurring in a paediatric ...

This international Delphi study, led by the European Society of Radiation Oncology as part of their Value-Based Radiation Oncology programme, brought together key experts from the radiation oncology ...

Protein S deficiency represents a rare but significant hereditary thrombophilia that poses substantial risks during pregnancy ...

Background Internationally, investment in hospital-based services for sexual violence is increasing. However, service ...