Latest AI and machine learning research in emergency medicine for healthcare professionals.
OBJECTIVE: Sepsis remains a major clinical challenge because of its complex, heterogeneous, and mult...
Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the eme...
This article considers how artificial intelligence (AI) could support, within a New Zealand context,...
BACKGROUND: Traumatic Brain Injury (TBI) poses a significant public health challenge in India, with ...
BACKGROUND: Post-cardiac arrest syndrome carries substantial mortality despite advances in resuscita...
OBJECTIVE: To compare AI-augmented and conventional double reading in organised breast-cancer screen...
BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and...
BACKGROUND: The constant emergence of novel psychoactive substances (NPS) poses significant analytic...
OBJECTIVES: The objective was to develop an artificial intelligence (AI) model for predicting acute ...
Effective referral triage in pain medicine is essential to ensure that patients receive timely and a...
BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause o...
Dibutyl phthalate (DBP) is a ubiquitous pollutant, but its molecular link to inflammatory bowel dise...
INTRODUCTION: Medication reconciliation (MR) in the emergency department (ED) is essential to ensure...
OBJECTIVE: The Focused Assessment with Sonography for Trauma (FAST) enables rapid detection of free ...
BACKGROUND: This study aimed to develop a multimodal predictive model that integrates clinical varia...
INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies mark...
With the rapid expansion of tire production, the antioxidant N-(1,3-dimethylbutyl)-N'-phenyl-p-pheny...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, yet its clinical integ...
BACKGROUND: Aggression, which is highly prevalent in patients with mood disorders, has been proven v...
OBJECTIVE: The aim of this study was to evaluate the performance of a deep learning (DL) model in au...
PURPOSE: This study aims to evaluate whether quantitative imaging features analyzed by an artificial...