An increasingly strong connection between artificial intelligence and medicine has enabled
the development of predictive models capable of supporting physicians' decision-making …

This paper provides an in-depth analysis of the clinical applications of artificial intelligence
(AI) in Nuclear Medicine, focusing on three key areas: neurology, cardiology, and oncology …

Myocardial infarction is a serious medical condition that requires prompt and accurate
diagnosis for effective treatment. In this paper, we present a novel approach for detecting …

deep learning solution to detect left ventricular structural abnormalities with chest X-rays:
towards trustworthy AI in cardiology | European Heart Journal | Oxford Academic Skip to Main …

Recent advancements in Artificial Intelligence (AI) have significantly influenced the field of
Cardiovascular Disease (CVD) analysis, particularly in image-based diagnostics. Our paper …

The 2017 World Health Organization Fact Sheet highlights that coronary artery disease is
the leading cause of death globally, responsible for approximately 30% of all deaths. In this …

Background and objective Training convolutional neural networks based on large amount of
labeled data has made great progress in the field of image segmentation. However, in …

Early and accurate cardiovascular disease detection is a very crucial task to lower the
mortality rate of a patient with a diagnosis of cardiovascular disease. Deep learning …

Cancer is one of the deadliest diseases in humans and dogs. Nevertheless, most tumor
types spread faster in canines, and early cancer detection methods are necessary to …

Background: Cognitive loss is one of the biggest health problems for older people. The
incidence of dementia increases with age, so Alzheimer's disease (AD), the most prevalent …