Latest AI and machine learning research in emergency medicine for healthcare professionals.
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessment of larval morphological changes based on images by experienced screeners. The process is time-consuming and prone to subjectivity. However, deep learning models trained using labeled image data offer a more objective and efficient alternative. As part of the Systematic Evaluation of the Applicati...
Mycotoxins are potent triggers of hepatocellular carcinoma (HCC) due to their intricate interplay with cellular macromolecules and signaling pathways. This study integrates machine learning and biomolecular analyses to elucidate the mechanisms underlying mycotoxin-induced hepatocarcinogenesis. Using a data set of 1767 mycotoxins and 1706 non-mycotoxin fungal metabolites, we evaluated 51 machine le...
BACKGROUND: Phenotypic age acceleration (PhenoAgeAccel) is considered a major risk factor for various age-related diseases, but its specific role in a...
Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in the acute assessment (first 24 h postinjury) of pa...
INTRODUCTION: Artificial intelligence (AI) has the potential to improve the quality and efficiency of medical triage in primary care. However, there a...
Intracerebral haemorrhage (ICH) is a common form of stroke that affects millions of people worldwide. The incidence is associated with a high rate of ...
BACKGROUND: Emergency laparotomy is associated with high rates of morbidity and mortality. Accurate, individualised risk prediction models can be used...
The increasing number of Monkeypox (Mpox) cases in non-endemic countries resulted in the WHO declaring a public health emergency of international conc...
(Quantitative) structure-activity relationships ((Q)SARs) are widely used in chemical safety assessment to predict toxicological effects. Many thousan...
OBJECTIVES: This study aims to develop a deep learning algorithm for differentiating aneurysmal subarachnoid hemorrhage (aSAH) from non-aneurysmal sub...
PURPOSE: Trauma-induced rib fractures are a common injury. The number and characteristics of these fractures influence whether a patient is treated no...
OBJECTIVES: To evaluate how different test set sampling strategies-random selection and balanced sampling-affect the performance of artificial intelli...
BACKGROUND: Thrombus formation is a severe complication in orthopedic surgery, significantly increasing mortality in patients with fractures. Therefor...
BACKGROUND: To evaluate the prognosis of patients with traumatic brain injury according to the Computed Tomography (CT) findings of skull fracture and...
: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persists after revascularization due to reperfusion inju...
BACKGROUND: Acute upper gastrointestinal bleeding (AUGIB) is one of the most common critical diseases encountered in the intensive care unit (ICU), wi...
Proper use of artificial intelligence (AI) can significantly enhance emergency responders' performance. However, they do not always trust or appropria...
BACKGROUND: Emergency departments (EDs) face significant challenges due to overcrowding, prolonged waiting times, and staff shortages, leading to incr...
BACKGROUND: The efficacy of Laryngeal Mask Airway (LMA) epinephrine during neonatal resuscitation has not been studied. We hypothesize that LMA epinep...
BACKGROUND: Severe coronary artery calcification (CAC) remains a significant challenge in interventional cardiology, especially in elderly and comorbi...