Many clinicians remain wary of machine learning because of longstanding concerns about
“black box” models.“Black box” is shorthand for models that are sufficiently complex that they …

ChatGPT is a type of artificial intelligence language model that uses deep learning
algorithms to generate human-like responses to text-based prompts. The introduction of the …

Twelve lead electrocardiogram signals capture unique fingerprints about the body's
biological processes and electrical activity of heart muscles. Machine learning and deep …

Electrocardiogram (ECG) data is used to monitor the electrical activity of the heart. It is
known that ECG data could help in detecting cardiac (heart) abnormalities. AI-enabled …

Abstract Machine learning (ML) is a sub-field of artificial intelligence that uses computer
algorithms to extract patterns from raw data, acquire knowledge without human input, and …

Objective To examine the role of explainability in machine learning for healthcare (MLHC),
and its necessity and significance with respect to effective and ethical MLHC application …

Recent global developments underscore the prominent role big data have in modern
medical science. But privacy issues constitute a prevalent problem for collecting and sharing …

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 …

Deep neural networks have become increasingly popular for analyzing ECG data because
of their ability to accurately identify cardiac conditions and hidden clinical factors. However …

Aims Electrocardiogram (ECG) is widely considered the primary test for evaluating
cardiovascular diseases. However, the use of artificial intelligence (AI) to advance these …