Latest AI and machine learning research in emergency medicine for healthcare professionals.
Despite the increasing prevalence of engineered nanomaterials (ENMs) in consumer products, their tox...
UNLABELLED: We hypothesize that knowledge of a stable personalized baseline state and increased data...
Toxicologic pathology is transitioning from analog to digital methods. This transition seems inevita...
OBJECTIVE: Septic shock results in a decreased blood pressure (BP) leading to organ failure. The hae...
BACKGROUND: We hypothesized utilizing machine learning (ML) algorithms for screening septic shock in...
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical s...
Sepsis is a major health concern with global estimates of 31.5 million cases per year. Case fatality...
BACKGROUND: Hypertrophic obstructive cardiomyopathy (HOCM) is a type of hypertrophic cardiomyopathy ...
PURPOSE: To evaluate the impact of pressure-regulated volume control (PRVC/VC+) use on delivered tid...
Computed tomography (CT) of the head is used worldwide to diagnose neurologic emergencies. However, ...
OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of d...
PURPOSE: In this study, we aimed to develop a novel prediction model to identify patients in need of...
Gastrinomas are neuroendocrine tumors characterized by gastrin overexpression - 80% are sporadic and...
As ovarian toxicity is often a safety concern for cancer therapeutics, identification of ovarian pat...
 Hypertensive intracerebral hemorrhage is one of the most common cerebrovascular diseases with high...
Presence of missing data points in datasets is among main challenges in handling the toxicological d...
The constitutive androstane receptor (CAR) plays pivotal roles in drug-induced liver injury through ...
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user i...
OBJECTIVE: Access to otolaryngology is limited by lengthy wait lists and lack of specialists, especi...
Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting o...
Assessing chemical toxicity is a multidisciplinary process, traditionally involving in vivo, in vitr...