Latest AI and machine learning research in emergency medicine for healthcare professionals.
Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the emergency department. Traditional prehospital tools and large vessel occlusion focused scales aid triage, but have limited ability to distinguish ischemic from hemorrhagic stroke, a distinction essential for treatment decision in acute phase. Recent advances include mobile stroke units equipped with co...
This article considers how artificial intelligence (AI) could support, within a New Zealand context, the contribution of private veterinarians to protecting animal health and welfare during emergency responses. These may include veterinary involvement in natural disasters, such as fire and flood, or formal emergency animal disease responses, which are the responsibility of different government dep...
BACKGROUND: Traumatic Brain Injury (TBI) poses a significant public health challenge in India, with nearly 2 million cases annually and limited CT ava...
BACKGROUND: Post-cardiac arrest syndrome carries substantial mortality despite advances in resuscitation. We developed a machine learning model to pre...
OBJECTIVE: To compare AI-augmented and conventional double reading in organised breast-cancer screening with respect to cancer-detection rate (CDR), r...
BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and mortality. Predictive models in trauma care tradi...
BACKGROUND: The constant emergence of novel psychoactive substances (NPS) poses significant analytical challenges due to their structural diversity, l...
OBJECTIVES: The objective was to develop an artificial intelligence (AI) model for predicting acute coronary occlusion myocardial infarction (OMI) in ...
BACKGROUND AND OBJECTIVES: Identifying surgical candidates who are prone to poor outcomes is crucial for adapting treatment and ensuring optimal outco...
OBJECTIVES: Amyloid-lowering immunotherapies can cause amyloid-related imaging abnormalities (ARIA), requiring brain MRI for detection and monitoring....
Effective referral triage in pain medicine is essential to ensure that patients receive timely and appropriate care. This study presents a multistage ...
OBJECTIVES: To assess healthcare costs of patients screened for cervical spine (C-spine) fractures using CT, and estimate the change in in-hospital co...
BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause of disability worldwide. Among the various contribu...
Dibutyl phthalate (DBP) is a ubiquitous pollutant, but its molecular link to inflammatory bowel disease (IBD) is undefined. We employed an integrative...
INTRODUCTION: Medication reconciliation (MR) in the emergency department (ED) is essential to ensure medication safety, especially for patients admitt...
OBJECTIVE: The Focused Assessment with Sonography for Trauma (FAST) enables rapid detection of free intraperitoneal fluid, facilitating timely managem...
BACKGROUND: This study aimed to develop a multimodal predictive model that integrates clinical variables, radiomic features (RFs), and deep learning-b...
INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies marked by progressive internal carotid stenosis, fragi...
With the rapid expansion of tire production, the antioxidant N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine (6PPD) and its transformation product,...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, yet its clinical integration in hand surgery remains variable and incomp...