The concept of the Internet of Medical Things brings a promising option to utilize various
electronic health records stored in different medical devices and servers to create practical …

Isolated rapid eye movement sleep behavior disorder (iRBD) is a sleep disorder
characterized by dream enactment behavior without any neurological disease and is …

Abstract Background and Objective: Convolutional neural networks are widely used to
detect radiological findings in chest radiographs. Standard architectures are optimized for …

Chronic Obstructive Pulmonary Disease (COPD) is a prevalent pulmonary condition marked
by enduring respiratory symptoms and airflow limitations. Prompt diagnosis is vital for …

Chronic Obstructive Pulmonary Disease (COPD) is a major health concern worldwide, the
third leading cause of death. However, it often goes unnoticed until it reaches severe stages …

Introduction Wrist and elbow radiographs, which plays a key role in diagnosing both
fractures and degenerative conditions, present a diagnostic challenge due to intricate …

Meltblown nonwoven fabrics are used in various products, such as masks, protective
clothing, industrial filters, and sanitary products. As the range of products incorporating …

The interpretability of deep neural networks has become a subject of great interest within the
medical and healthcare domain. This attention stems from concerns regarding transparency …

The great diffusion of convolutional neural networks and transformers for image
classification made the demand for transparency of deep models more urgent, especially …

Deep learning-based models are widely used for disease classification in chest
radiographs. This exam can be performed in one of two projections (posteroanterior or …