Cardiovascular diseases are a leading cause of mortality globally. Electrocardiography
(ECG) still represents the benchmark approach for identifying cardiac irregularities …

Human beings encompass sophisticated microcirculation and microenvironments,
incorporating a broad spectrum of microfluidic systems that adopt fundamental roles in …

In this paper, novel convolutional neural network (CNN) and convolutional long short-term
(ConvLSTM) deep learning models (DLMs) are presented for automatic detection of …

Colon cancer is the second most common cause of cancer death in women and the third
most common cause of cancer death in men. Therefore, early detection of this cancer can …

Electrocardiography (ECG) is a sophisticated tool for the diagnosis of myocardial infarction
(MI). Deep learning approaches can support MI diagnosis based on ECG data. However …

The Brain-computer interface (BCI) is used to enhance the human capabilities. The hybrid-
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …

Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …

Abstract Purpose of Review This literature review aims to provide a comprehensive
overview of the recent advances in prediction models and the deployment of AI and ML in …

Atrial fibrillation (AF) and atrial flutter (AFL) are the most common arrhythmias. Due to the
similar clinical symptoms, both are one of the main causes of misdiagnosis for physicians …

Cardiovascular system and its functions under both physiological and pathophysiological
conditions have been studied for centuries. One of the most important steps in the …