Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …

Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient
information directly from images that are decoded into handcrafted features, comprising …

Atrial fibrillation is a heart arrhythmia strongly associated with other heart-related
complications that can increase the risk of strokes and heart failure. Manual …

This article presents a new deep learning approach for cardiac arrhythmia (17 classes)
detection based on long-duration electrocardiography (ECG) signal analysis …

Background and objective For diagnosis of arrhythmic heart problems, electrocardiogram
(ECG) signals should be recorded and monitored. The long-term signal records obtained …

In the last few years, hardly a day goes by that we do not hear about the latest
advancements and improvements that Artificial Intelligence (AI) has brought to a wide …

Electroencephalogram (EEG) is widely used to monitor the brain activities. The manual
examination of these signals by experts is strenuous and time consuming. Hence, machine …

In this study, a deep-transfer learning approach is proposed for the automated diagnosis of
diabetes mellitus (DM), using heart rate (HR) signals obtained from electrocardiogram …

The rapid evolution of the Internet and communication technologies has fueled the
proliferation of wireless sensor network (WSN) technology, which is increasingly important in …

Today, skin cancer is considered one of the most dangerous and common cancers in the
world, demanding special attention. Skin cancer can be developed in different types …