Image-based cardiac diagnosis with machine learning: a review

C Martin-Isla, VM Campello, C Izquierdo… - Frontiers in …, 2020 - frontiersin.org
Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …

The role of artificial intelligence in cardiovascular imaging: state of the art review

K Seetharam, D Brito, PD Farjo… - Frontiers in …, 2020 - frontiersin.org
In this current digital landscape, artificial intelligence (AI) has established itself as a powerful
tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge …

Elevated extracellular volume fraction and reduced global longitudinal strains in participants recovered from COVID-19 without clinical cardiac findings

X Li, H Wang, R Zhao, T Wang, Y Zhu, Y Qian, B Liu… - Radiology, 2021 - pubs.rsna.org
Background It is unknown if there are cardiac abnormalities in persons who have recovered
from coronavirus disease 2019 (COVID-19) without cardiac symptoms or in those who have …

Recommendations for multimodality cardiovascular imaging of patients with hypertrophic cardiomyopathy: an update from the American Society of Echocardiography …

SF Nagueh, D Phelan, T Abraham, A Armour… - Journal of the American …, 2022 - Elsevier
Hypertrophic cardiomyopathy (HCM) is defined by the presence of left ventricular
hypertrophy in the absence of other potentially causative cardiac, systemic, syndromic, or …

Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking—a cardiovascular MR study in health and disease

J Gröschel, J Kuhnt, D Viezzer, T Hadler, S Hormes… - European …, 2024 - Springer
Objectives The analysis of myocardial deformation using feature tracking in cardiovascular
MR allows for the assessment of global and segmental strain values. The aim of this study …

Artificial intelligence applied in cardiovascular disease: a bibliometric and visual analysis

J Zhang, J Zhang, J Jin, X Jiang, L Yang… - Frontiers in …, 2024 - frontiersin.org
Background With the rapid development of technology, artificial intelligence (AI) has been
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …

3-dimensional strain analysis of hypertrophic cardiomyopathy: insights from the NHLBI International HCM Registry

B Heydari, A Satriano, M Jerosch-Herold, P Kolm… - Cardiovascular …, 2023 - jacc.org
Background Abnormal global longitudinal strain (GLS) has been independently associated
with adverse cardiac outcomes in both obstructive and nonobstructive hypertrophic …

Texture signatures of native myocardial T1 as novel imaging markers for identification of hypertrophic cardiomyopathy patients without scar

U Neisius, H El‐Rewaidy… - Journal of Magnetic …, 2020 - Wiley Online Library
Background In patients with suspected or known hypertrophic cardiomyopathy (HCM), late
gadolinium enhancement (LGE) provides diagnostic and prognostic value. However …

Potential role of artificial intelligence in cardiac magnetic resonance imaging: can it help clinicians in making a diagnosis?

R Cau, V Cherchi, G Micheletti, M Porcu… - Journal of thoracic …, 2021 - journals.lww.com
In the era of modern medicine, artificial intelligence (AI) is a growing field of interest which is
experiencing a steady development. Several applications of AI have been applied to various …

CMR feature tracking strain patterns and their association with circulating cardiac biomarkers in patients with hypertrophic cardiomyopathy

E Cavus, K Muellerleile, S Schellert… - Clinical Research in …, 2021 - Springer
Aims CMR feature tracking strain (CMR-FT) provides prognostic information. However, there
is a paucity of data in hypertrophic cardiomyopathy (HCM). We sought to analyze global …