A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...

Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) ...