Current advancement in diagnosing atrial fibrillation by utilizing wearable devices and artificial intelligence: A review study
Atrial fibrillation (AF) is a common arrhythmia affecting 8–10% of the population older than
80 years old. The importance of early diagnosis of atrial fibrillation has been broadly …
80 years old. The importance of early diagnosis of atrial fibrillation has been broadly …
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
Machine learning in cardio-oncology: new insights from an emerging discipline
Y Zheng, Z Chen, S Huang, N Zhang, Y Wang… - Reviews in …, 2023 - vbn.aau.dk
A growing body of evidence on a wide spectrum of adverse cardiac events following
oncologic therapies has led to the emergence of cardio-oncology as an increasingly …
oncologic therapies has led to the emergence of cardio-oncology as an increasingly …
[HTML][HTML] State of the art paper: Cardiac computed tomography of the left atrium in atrial fibrillation
N Bodagh, MC Williams, K Vickneson… - Journal of …, 2023 - Elsevier
The clinical spectrum of atrial fibrillation means that a patient-individualized approach is
required to ensure optimal treatment. Cardiac computed tomography can accurately …
required to ensure optimal treatment. Cardiac computed tomography can accurately …
Machine learning in cardiovascular imaging: a scoping review of published literature
Abstract Purpose of Review In this study, we planned and carried out a scoping review of the
literature to learn how machine learning (ML) has been investigated in cardiovascular …
literature to learn how machine learning (ML) has been investigated in cardiovascular …
[HTML][HTML] Application effect of low-dose spiral CT on pulmonary nodules and its diagnostic value for benign and malignant nodules
C Zheng, H Wang, Q Liu, D Han, Y Xin… - American Journal of …, 2023 - ncbi.nlm.nih.gov
Objective: This study was designed to determine the application effect of low-dose computed
tomography (LDCT) on detecting pulmonary nodules (PNs) and its diagnostic value for …
tomography (LDCT) on detecting pulmonary nodules (PNs) and its diagnostic value for …
Automatic 3D left atrial strain extraction framework on cardiac computed tomography
Background and objective Strain analysis provides insights into myocardial function and
cardiac condition evaluation. However, the anatomical characteristics of left atrium (LA) …
cardiac condition evaluation. However, the anatomical characteristics of left atrium (LA) …
AI-based, automated chamber volumetry from gated, non-contrast CT
Background Accurate chamber volumetry from gated, non-contrast cardiac CT (NCCT)
scans can be useful for potential screening of heart failure. Objectives To validate a new …
scans can be useful for potential screening of heart failure. Objectives To validate a new …
[HTML][HTML] AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and …
Background Coronary artery calcium (CAC) scans contain actionable information beyond
CAC scores that is not currently reported. Methods We have applied artificial intelligence …
CAC scores that is not currently reported. Methods We have applied artificial intelligence …
[HTML][HTML] Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against …
Background: To validate the automated quantification of cardiac chamber volumes and
myocardial mass on non-contrast chest CT using cardiac MR (CMR) as a reference …
myocardial mass on non-contrast chest CT using cardiac MR (CMR) as a reference …