The increasing access to health data worldwide is driving a resurgence in machine learning
research, including data-hungry deep learning algorithms. More computationally efficient …

Due to its widespread availability, low cost, feasibility at the patient's bedside and
accessibility even in low-resource settings, chest X-ray is one of the most requested …

A highly contagious illness caused by the SARS-CoV-2 virus pandemic is proven to wreak
havoc on people's health and well-being all over the globe. Severe Acute Respiratory …

Electronic medical records (EMRs) have many benefits in clinical research in gerontology,
enabling data analysis, development of prognostic tools and disease risk prediction. EMRs …

In the 1950s and 1960s, in molecular biology, information technology was mainly applied to
the molecular evolution of proteins and DNA, and later expanded to multiple fields such as …

Arrhythmia, a frequently encountered and life-threatening cardiac disorder, can manifest as
a transient or isolated event. Traditional automatic arrhythmia detection methods have …

This paper presents a novel multiclass system designed to detect pleural effusion and
pulmonary edema on chest X-ray images, addressing the critical need for early detection in …

Emergence of deep learning (DL) and its applicability motivated researchers and scientists
to explore its applications in their fields of expertise. In medical technology, a huge amount …

The rapid progression of artificial intelligence (AI) in healthcare has greatly influenced
emergency medicine, particularly in Taiwan—a nation celebrated for its technological …

Emergency departments play a critical role in healthcare systems, serving the initial point
that patients and hospitals contact. Emergency physicians deal with emergent and life …