[HTML][HTML] The role of artificial intelligence and machine learning in cardiovascular imaging and diagnosis
S Reza-Soltani, LF Alam, O Debellotte, TS Monga… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Cardiovascular diseases remain the leading cause of global mortality, underscoring the
critical need for accurate and timely diagnosis. This narrative review examines the current …
critical need for accurate and timely diagnosis. This narrative review examines the current …
[HTML][HTML] Artificial Intelligence for Remote Patient Monitoring: Advancements, Applications, and Challenges
M Farrokhi, F Taheri, A Moeini, M Farrokhi, MZS Alireza… - Kindle, 2024 - preferpub.org
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector,
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …
A systematic review on the impact of artificial intelligence on electrocardiograms in cardiology
Background Artificial intelligence (AI) has revolutionized numerous industries, enhancing
efficiency, scalability, and insight generation. In cardiology, particularly through …
efficiency, scalability, and insight generation. In cardiology, particularly through …
Advanced Neural Network Architecture for Enhanced Multi-Lead ECG Arrhythmia Detection through Optimized Feature Extraction
BC Challagundla - arXiv preprint arXiv:2404.15347, 2024 - arxiv.org
Cardiovascular diseases are a pervasive global health concern, contributing significantly to
morbidity and mortality rates worldwide. Among these conditions, arrhythmia, characterized …
morbidity and mortality rates worldwide. Among these conditions, arrhythmia, characterized …
A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Deep learning has made many advances in data classification using electrocardiogram
(ECG) waveforms. Over the past decade, data science research has focused on developing …
(ECG) waveforms. Over the past decade, data science research has focused on developing …
Rationale and design of the artificial intelligence scalable solution for acute myocardial infarction (ASSIST) study
T Domingo-Gardeta, JM Montero-Cabezas… - Journal of …, 2024 - Elsevier
Background Acute coronary syndrome (ACS), specifically ST-segment elevation myocardial
infarction is a major cause of morbidity and mortality throughout Europe. Diagnosis in the …
infarction is a major cause of morbidity and mortality throughout Europe. Diagnosis in the …
Unveiling AI-ECG using Generative Counterfactual XAI Framework
Background: The application of artificial intelligence (AI) to electrocardiograms (ECGs) has
shown great promise in the screening and diagnosis of cardiovascular diseases, often …
shown great promise in the screening and diagnosis of cardiovascular diseases, often …
[PDF][PDF] Saeedeh Shirdel
MH Madani, F Pourali, YA Vostacolaee, SM Nasiri… - researchgate.net
Chronic kidney disease (CKD) and other renal diseases represent a significant global health
burden, affecting millions of individuals worldwide. Managing these conditions requires …
burden, affecting millions of individuals worldwide. Managing these conditions requires …