Latest AI and machine learning research in emergency medicine for healthcare professionals.
Motivation: GWAS (genome-wide association study) summary statistic files are essential inputs for po...
Rationale Autonomic dysfunction is a hallmark of sepsis pathophysiology, yet its quantification rema...
Background: Large language models (LLMs) are increasingly deployed in medical contexts as patient-fa...
This study presents an advanced system for detecting blue lights on emergency vehicles, developed us...
Introduction: The eligibility of anti-amyloid disease-modifying therapies (DMTs) and their integrati...
Continuous physiological monitoring is central to emergency care, yet deploying trustworthy AI is ch...
Background: Cardiovascular disease remains the leading cause of global morbidity and mortality. The ...
Chemical toxicity assessment is critical for drug development and environmental safety. Computationa...
Hepatotoxicity remains a leading cause of drug attrition and post-marketing withdrawal, resulting fr...
This paper presents a fully data-free Physics-Informed Neural Network (PINN) capable of solving comp...
Purpose: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedi...
Temporal stability in glottic opening localization remains challenging due to the complementary weak...
Clinical risk prediction models often fail to be generalized across cohorts because underlying data ...
Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the...
Large language models (LLMs) are increasingly used for qualitative analysis in substance use researc...
The opioid epidemic continues to ravage communities worldwide, straining healthcare systems, disrupt...
The co-occurrence of per- and polyfluoroalkyl substances (PFAS) and volatile organic compounds (VOCs...
Rapid risk stratification is essential in the clinic, yet vital signs, laboratory tests, and triage ...
Accurate documentation of newborn resuscitation is essential for quality improvement and adherence t...
Regulatory agencies require comprehensive genotoxicity assessments for all novel small-molecule ther...
Computational toxicology increasingly relies on evidence, high-throughput screening, predictive (Q)S...