[HTML][HTML] Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects

DB Olawade, N Aderinto, G Olatunji, E Kokori… - Journal of Medicine …, 2024 - Elsevier
Using Artificial intelligence technologies in cardiology has witnessed rapid advancements
across various domains, fostering innovation and reshaping clinical practices. The study …

Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories

M Lashgari, RP Choudhury, A Banerjee - Frontiers in Cardiovascular …, 2024 - frontiersin.org
Coronary artery disease is caused by the buildup of atherosclerotic plaque in the coronary
arteries, affecting the blood supply to the heart, one of the leading causes of death around …

Machine learning approach for predicting state transitions via shank acceleration data during freezing of gait in Parkinson's disease

A Khosla, N Kumar, P Khera - Biomedical Signal Processing and Control, 2024 - Elsevier
Rehabilitation using external cues has shown positive impact on Freezing-of-Gait (FoG)
severity in Parkinson's disease (PD) patients. Research studies on FoG detection and …

Artificial intelligence evaluation of coronary computed tomography angiography for coronary stenosis classification and diagnosis

DY Lee, CC Chang, CF Ko, YH Lee… - European Journal of …, 2024 - Wiley Online Library
Background Ruling out obstructive coronary artery disease (CAD) using coronary computed
tomography angiography (CCTA) is time‐consuming and challenging. This study developed …

Applied Artificial Intelligence and Prospect of Internet of Everything (IoE) for the Detection of Tuberculosis

I Omodamilola, AU Ibrahim, S Asir… - Applied Artificial …, 2024 - Taylor & Francis
Mycobacterium tuberculosis is a bacterium that causes disease known as Tuberculosis.
Tuberculosis is highly contagious and can result in high mortality rate if left untreated. In …

Ensemble Learning-Based Coronary Artery Disease Detection Using Computer Tomography Images

ARW Sait, AMAB Awad - Applied Sciences, 2024 - mdpi.com
Coronary artery disease (CAD) is the most prevalent form of cardiovascular disease that
may result in myocardial infarction. Annually, it leads to millions of fatalities and causes …

Neural network-based coronary dominance classification of RCA angiograms

I Kruzhilov, E Ikryannikov, A Shadrin… - arXiv preprint arXiv …, 2023 - arxiv.org
Background. Cardiac dominance classification is essential for SYNTAX score estimation,
which is a tool used to determine the complexity of coronary artery disease and guide …

Application of Deep Learning Techniques for Coronary Artery Disease Detection and Prediction: A Systematic Review

M Jayasree, L Koteswara Rao - International Conference on Intelligent …, 2023 - Springer
Coronary artery disease, a leading cause of death, occurs when coronary arteries narrow
due to plaque or blood clots. It is possible to visualize these blood clots in the blood vessels …

An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-Ray Coronary Angiography

L Dašić, O Pavić, T Geroski, N Filipović - Serbian International Conference …, 2023 - Springer
Coronary heart disease (CHD) is a serious cardiovascular illness that is among the top
causes of death worldwide. Using X-ray coronary angiography, it is possible to detect and …

[PDF][PDF] INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING

I Govindharaj, G Karthick, G Micheal - researchgate.net
Glaucoma, an eye condition marked by elevated eye pressure, is one of the leading causes
of complete blindness for those affected. Early intervention through treatment and screening …