Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

Routinely collected electronic health records (EHRs) data contain a vast amount of valuable
information for conducting epidemiological studies. With the right tools, we can gain insights …

Simple Summary Currently, rodents and pigs are the primary disease models used in
cardiovascular research. Generally, larger animals that are more closely related to humans …

Aims The diagnostic application of artificial intelligence (AI)-based models to detect
cardiovascular diseases from electrocardiograms (ECGs) evolves, and promising results …

Objective Artificial intelligence (AI) detects heart disease from images of electrocardiograms
(ECGs). However, traditional supervised learning is limited by the need for large amounts of …

Artificial intelligence (AI) in medicine is an increasingly studied and widespread
phenomenon, applied in multiple clinical settings. Alongside its many potential advantages …

Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality
worldwide. Effective prevention and management strategies are essential to reduce the …

The rapid growth in computational power, sensor technology, and wearable devices has
provided a solid foundation for all aspects of cardiac arrhythmia care. Artificial intelligence …

This paper proposes a denoising method based on an adversarial deep learning approach
for the post-processing of multi-channel fetal electrocardiogram (ECG) signals. As it's well …

For more than 60 years, artificial intelligence (AI) has served as a mainstay in augmenting
and assisting the lives of individuals across a wide array of interests and professional fields …