[HTML][HTML] Prediction of sudden cardiac death using artificial intelligence: Current status and future directions
MZH Kolk, S Ruipérez-Campillo, AAM Wilde, RE Knops… - Heart Rhythm, 2024 - Elsevier
Sudden cardiac death (SCD) remains a pressing health issue, affecting hundreds of
thousands each year globally. The heterogeneity among SCD victims, ranging from …
thousands each year globally. The heterogeneity among SCD victims, ranging from …
[HTML][HTML] AI-Enhanced ECG Applications in Cardiology: Comprehensive Insights from the Current Literature with a Focus on COVID-19 and Multiple Cardiovascular …
The application of artificial intelligence (AI) in electrocardiography is revolutionizing
cardiology and providing essential insights into the consequences of the COVID-19 …
cardiology and providing essential insights into the consequences of the COVID-19 …
Physically motivated projection of the electrocardiogram
S Wildowicz, T Gradowski, P Figura, I Olczak… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a physically motivated projection of the 12 lead electrocardiogram, based on a
deep learning model trained on 21,799 recordings from the PTB-XL database, that allows …
deep learning model trained on 21,799 recordings from the PTB-XL database, that allows …
Prediction of Severe Obstructive Coronary Artery Disease Using Radiomic Features from Resting Cardiac Ultrasound Images: A Pilot Study
D Aziz, AD Jamthikar, A Bhattaru, K Desingu, N Rajiv… - medRxiv, 2024 - medrxiv.org
Background: Although cardiac ultrasound is frequently performed in patients with chest pain,
the probability of obstructive coronary artery disease (CAD) cannot be quantified. We …
the probability of obstructive coronary artery disease (CAD) cannot be quantified. We …
The value of invisible electrocardiography
M Malik - Heart rhythm, 2024 - pubmed.ncbi.nlm.nih.gov
Advancement and Application of Deep Learning Techniques for Biomedical Image Analysis: Diagnostics, Risk, and Biomarker Prediction
J Leiby - 2024 - search.proquest.com
The advancement and application of deep learning techniques in the field of biomedical
image analysis have experienced significant growth, driven by the ever-increasing …
image analysis have experienced significant growth, driven by the ever-increasing …