Background Artificial intelligence (AI)-based conversational models, such as Chat
Generative Pre-trained Transformer (ChatGPT), Microsoft Bing, and Google Bard, have …

eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of
machine learning models into a more digestible form. These methods help to communicate …

Artificial intelligence (AI)-based conversational models, such as ChatGPT, Microsoft Bing,
and Google Bard, emerged as valuable sources of health information for the lay individuals …

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 …

Explainable Artificial Intelligence (XAI) provides tools to help understanding how AI models
work and reach a particular decision or outcome. It helps to increase the interpretability of …

Aims The increasing use of insertable cardiac monitors (ICM) produces a high rate of false
positive (FP) diagnoses. Their verification results in a high workload for caregivers. We …

The impressive gains in deep learning (DL) started in 2012 and its successful utilization in
image interpretation have led to the current momentum for artificial intelligence (AI) …

Methods Consecutive patients who underwent CMR for any indication between January
2022 and October 2022 at a single tertiary centre were included prospectively. For each …

Abstract Machine learning (ML) and deep learning (DL) have potential applications in
medicine. This overview explores the applications of AI in cardiovascular imaging, focusing …

Explainable Artificial Intelligence (XAI) provides tools to help understanding how the
machine learning models work and reach a specific outcome. It helps to increase the …