Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology

AK Feeny, MK Chung, A Madabhushi… - Circulation …, 2020 - Am Heart Assoc
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of
intense exploration, showing potential to automate human tasks and even perform tasks …

Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review

L Li, VA Zimmer, JA Schnabel, X Zhuang - Medical image analysis, 2022 - Elsevier
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …

Mini review: Deep learning for atrial segmentation from late gadolinium-enhanced MRIs

K Jamart, Z Xiong, GD Maso Talou… - Frontiers in …, 2020 - frontiersin.org
Segmentation and 3D reconstruction of the human atria is of crucial importance for precise
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …

3D shallow deep neural network for fast and precise segmentation of left atrium

A Kausar, I Razzak, MI Shapiai, A Beheshti - Multimedia Systems, 2023 - Springer
Abstract Knowledge of the underlying anatomy of the left atrium can promote improved
diagnostic protocols and clinical interventions. Hence, an automatic segmentation of the left …

Chamber-specific wall thickness features in human atrial fibrillation

J Zhao, J Kennelly, A Nalar, A Kulathilaka… - Interface …, 2023 - royalsocietypublishing.org
Persistent atrial fibrillation (AF) is not effectively treated due to a lack of adequate tools for
identifying patient-specific AF substrates. Recent studies revealed that in 30–50% of …

Comprehensive evaluation of electrophysiological and 3D structural features of human atrial myocardium with insights on atrial fibrillation maintenance mechanisms

AV Mikhailov, A Kalyanasundaram, N Li… - Journal of molecular and …, 2021 - Elsevier
Atrial fibrillation (AF) occurrence and maintenance is associated with progressive
remodeling of electrophysiological (repolarization and conduction) and 3D structural …

Understanding PITX2-dependent atrial fibrillation mechanisms through computational models

J Bai, Y Lu, Y Zhu, H Wang, D Yin, H Zhang… - International Journal of …, 2021 - mdpi.com
Atrial fibrillation (AF) is a common arrhythmia. Better prevention and treatment of AF are
needed to reduce AF-associated morbidity and mortality. Several major mechanisms cause …

Computing thickness of irregularly-shaped thin walls using a locally semi-implicit scheme with extrapolation to solve the Laplace equation: Application to the right …

S Merino-Caviedes, M Martín-Fernández… - Computers in Biology …, 2024 - Elsevier
Abstract Cardiac Magnetic Resonance (CMR) Imaging is currently considered the gold
standard imaging modality in cardiology. However, it is accompanied by a tradeoff between …

A novel method to estimate adult age from the lumbar vertebral body using 3D PMCT images in Japanese

D Zangpo, K Uehara, K Kondo, M Yoshimiya… - Legal Medicine, 2023 - Elsevier
This study evaluated the age-related changes in the vertebral body using 3D Postmortem
CT (PMCT) images and proposed an alternative age estimation formula. The PMCT images …

[HTML][HTML] Improved algorithm for generating evenly-spaced streamlines from an orientation field on a triangulated surface

V Jacquemet - Computer Methods and Programs in Biomedicine, 2024 - Elsevier
Background: Vector fields such as cardiac fiber orientation can be visualized on a surface
using streamlines. The application of evenly-spaced streamline generation to the …