Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …

While coronary angiography is the gold standard diagnostic tool for coronary artery disease
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …

Cardiovascular diseases (CVDs) such as hypertension, atherosclerosis, myocardial
infarction, and diabetes are a significant public health problem worldwide. Although several …

Deep learning has become a significant tool in the healthcare industry with the potential to
change the way care is provided and enhance patient outcomes. With a focus on …

Purpose Stroke is one of the leading causes of disability and mortality. Carotid
atherosclerosis is a crucial factor in the occurrence of ischemic stroke. To achieve timely …

Background The evaluation of thyroid nodules with ultrasonography has created a large
burden for radiologists. Artificial intelligence technology has been rapidly developed in …

Cardiovascular disease (CVD) is the leading cause of death throughout the world. The
increase in new patients every year leads to a demand for the identification of valid and …

Heart is one of the important as well as hardest working organ of human body. Cardiac
ischemia is the condition where sufficient blood and oxygen will not reach the heart muscle …

Echocardiography (echo) is a critical tool in diagnosing various cardiovascular diseases.
Despite its diagnostic and prognostic value, interpretation and analysis of echo images are …