A review of evaluation approaches for explainable AI with applications in cardiology
Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI
models and is important in building trust in model predictions. XAI explanations themselves …
models and is important in building trust in model predictions. XAI explanations themselves …
A systematic review of machine learning and IoT applied to the prediction and monitoring of cardiovascular diseases
A Cuevas-Chavez, Y Hernandez, J Ortiz-Hernandez… - Healthcare, 2023 - mdpi.com
According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
MSGformer: A multi-scale grid transformer network for 12-lead ECG arrhythmia detection
C Ji, L Wang, J Qin, L Liu, Y Han, Z Wang - Biomedical Signal Processing …, 2024 - Elsevier
The electrocardiogram (ECG) is a ubiquitous medical diagnostic tool employed to identify
arrhythmias that are characterized by anomalous waveform morphology and erratic …
arrhythmias that are characterized by anomalous waveform morphology and erratic …
Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis
Arrhythmias, cardiac rhythm disorders, demand precise diagnosis for effective treatment
planning, emphasizing the crucial role of electrocardiogram (ECG) signal interpretation …
planning, emphasizing the crucial role of electrocardiogram (ECG) signal interpretation …
IM-ECG: An interpretable framework for arrhythmia detection using multi-lead ECG
R Tao, L Wang, Y **ong, YR Zeng - Expert Systems with Applications, 2024 - Elsevier
Multi-lead electrocardiogram (ECG) is a fundamental and reliable diagnostic tool for the
detection of heart arrhythmias. An increasing number of deep neural network models have …
detection of heart arrhythmias. An increasing number of deep neural network models have …
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide,
raising the need to develop novel tools to provide rapid and cost-effective screening and …
raising the need to develop novel tools to provide rapid and cost-effective screening and …
Explainable artificial intelligence for medical applications: A review
The continuous development of artificial intelligence (AI) theory has propelled this field to
unprecedented heights, owing to the relentless efforts of scholars and researchers. In the …
unprecedented heights, owing to the relentless efforts of scholars and researchers. In the …
[HTML][HTML] DCETEN: A lightweight ECG automatic classification network based on Transformer model
F Jiang, J **ao, L Liu, C Wang - Digital Communications and Networks, 2024 - Elsevier
Abstract Currently, Cardiovascular Disease (CVD) remains a significant contributor to
premature mortality and escalating health care expenses. Early and accurate detection is …
premature mortality and escalating health care expenses. Early and accurate detection is …
Enhancing deep learning-based 3-lead ecg classification with heartbeat counting and demographic data integration
An increasing number of people are being diagnosed with cardiovascular diseases (CVDs),
the leading cause of death globally. The gold standard for identifying these heart problems …
the leading cause of death globally. The gold standard for identifying these heart problems …
[PDF][PDF] Cardioview: a framework for detection premature ventricular contractions with explainable artificial intelligence
G Arienzo, AA Citarella, F De Marco… - INI-DH 2024: Workshop …, 2024 - ceur-ws.org
Artificial Intelligence plays a vital role in disease diagnosis, but effectively classifying diverse
Premature Ventricular Contraction (PVC) subtypes remains a challenge. While computer …
Premature Ventricular Contraction (PVC) subtypes remains a challenge. While computer …