Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective

B Baeßler, M Götz, C Antoniades… - Frontiers in …, 2023 - frontiersin.org
Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the
management of patients with chronic coronary syndromes. This fact is reflected by current …

[PDF][PDF] The Role of Artificial Intelligence in Healthcare: Enhancing Coronary Computed Tomography Angiography for Coronary Artery Disease Management

DT Reddy, I Grewal, LFG Pinzon, B Latchireddy… - Cureus, 2024 - cureus.com
This review aims to explore the potential of artificial intelligence (AI) in coronary CT
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …

An automated method for detecting atrial fat using convolutional neural network

D Deepa, Y Singh, MC Wang… - Proceedings of the …, 2021 - journals.sagepub.com
Atrial Fibrillation (A-fib) is a common cardiac rhythm problem in the population these days in
which irregular heartbeat leads to blood clots, heart failure, stroke, and other significant …

[HTML][HTML] Computed Tomography Evaluation of Coronary Atherosclerosis: The Road Travelled, and What Lies Ahead

C Ayoub, IG Scalia, NS Anavekar, R Arsanjani… - Diagnostics, 2024 - mdpi.com
Coronary CT angiography (CCTA) is now endorsed by all major cardiology guidelines for
the investigation of chest pain and assessment for coronary artery disease (CAD) in …

Comparative study of left atrium epicardial fat tissue pattern using persistent homology approach

D Deepa, Y Singh, W Mansoor, W Hu, R Paul… - BMC Research …, 2022 - Springer
Abstract Objective Atrial Fibrillation (A-fib) is an abnormal heartbeat condition in which the
heart races and beats in an uncontrollable way. It is observed that the presence of increased …

The Role of Artificial Intelligence in Healthcare: Enhancing Coronary Computed Tomography Angiography for Coronary Artery Disease Management

TR Dhammadam, G Inayat, GPL Fernanda… - Cureus, 2024 - search.proquest.com
This review aims to explore the potential of artificial intelligence (AI) in coronary CT
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …

To predict the left ventricular endocardial scar tissue pattern using Radon descriptor-based machine learning

Y Singh, S Atalla, W Mansoor, R Paul, D Deepa - BMC Research Notes, 2023 - Springer
Objective Scar tissue is an identified cause for the development of malignant ventricular
arrhythmias in patients of myocardial infarction, which ultimately leads to cardiac death, a …

Geometrical evaluation of the Scar in Left ventricle using TDA

Y Singh, S Deepa, W Mansoor… - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
Once the muscular wall dies because of a heart attack; it is recovered by the scar tissue in
the many weeks. The structure and mechanical properties of the curative scar are the entire …

Can persistence barcode topology reveal tumors' architecture information?

B Singh, W Mansoor, S Atalla, A Yadav - AIP Conference Proceedings, 2023 - pubs.aip.org
Understanding abnormal tissues' architecture at the early stages of cancer is a very
challenging task. Nowadays, the gold standard for tumors diagnosis is a biopsy, usually …

Potential Contributions of AI against COVID-19

S Sarasamma, Y Singh - Artificial Intelligence Applications in a …, 2022 - taylorfrancis.com
During the COVID-19 global crisis that appeared almost everywhere in 2020, clinicians,
scientists, and healthcare experts around the world kept searching for a new technology to …