Existing assessment pathways for acute chest pain are often resource-intensive, prolonged,
and expensive. In this review, the authors describe existing chest pain pathways and current …

In the coming years, artificial intelligence (AI) and machine learning will likely give rise to
profound changes in the field of emergency medicine, and medicine more broadly. This …

Seafood mislabeling rates of approximately 20% have been reported globally. Traditional
methods for fish species identification, such as DNA analysis and polymerase chain reaction …

(1) Background: Patients with acute myocardial infarction (AMI) still experience many major
adverse cardiovascular events (MACEs), including myocardial infarction, heart failure …

Background Machine learning (ML) employs algorithms that learn from data, building
models with the potential to predict events by aggregating a large number of variables and …

Background: Identifying active lesions in magnetic resonance imaging (MRI) is crucial for the
diagnosis and treatment planning of multiple sclerosis (MS). Active lesions on MRI are …

Background Chest pain is the second leading reason for emergency department (ED) visits
and is commonly identified as a leading driver of low-value health care. Accurate …

Background Survival with favorable neurological outcomes is an important indicator of
successful resuscitation in out-of-hospital cardiac arrest (OHCA). We sought to validate the …

The applications of artificial intelligence (AI) in temporal bone (TB) imaging have gained
significant attention in recent years, revolutionizing the field of otolaryngology and radiology …

Acute chest pain is a common symptom of cardiovascular disease, and its data have
important research value. However, the presence of missing value in medical datasets is …