Importance Standard tools used to diagnose pulmonary edema in acute decompensated
heart failure (ADHF), including chest radiography (CXR), lack adequate sensitivity, which …

Artificial Intelligence (AI) systems using symptoms/signs to detect respiratory diseases may
improve diagnosis especially in limited resource settings. Heterogeneity in such AI systems …

Introduction Early identification of infants requiring surfactant therapy improves outcomes.
We evaluated the accuracy of delivery room lung ultrasound (LUS) to predict surfactant …

Purposes To review the uses of AI for magnetic resonance (MR) imaging assessment of
primary pediatric cancer and identify common literature topics and knowledge gaps. To …

Current descriptions of ultrasound evaluations, including use of the term “point-of-care
ultrasound”(POCUS), are imprecise because they are predicated on distinctions based on …

Background Trauma is a leading cause of death in the United States. Ultrasound use in the
prehospital environment has the potential to change trauma management. Although …

Objective Recently, a cardiac sonography finding, early systolic notching (ESN), was
reported with high sensitivity and specificity for the diagnosis of pulmonary embolism (PE) in …

Purpose: To establish reporting adherence to the Checklist for Artificial Intelligence in
Medical Imaging (CLAIM) in diagnostic accuracy AI studies with the highest Altmetric …

Background The Standards for Reporting of Diagnostic Accuracy Studies (STARD)
statement has been updated in 2015. Many diagnostic test accuracy (DTA) studies have …

Objectives Point-of-care ultrasound (POCUS) diagnostic accuracy research has significant
variation in blinding practices. This study characterises the blinding practices during acute …