Application of AI in cardiovascular multimodality imaging

G Muscogiuri, V Volpato, R Cau, M Chiesa, L Saba… - Heliyon, 2022 - cell.com
Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the
reproducibility of this approach and the possibility to reduce time necessary to generate a …

Applications of artificial intelligence in multimodality cardiovascular imaging: a state-of-the-art review

B Xu, D Kocyigit, R Grimm, BP Griffin… - Progress in cardiovascular …, 2020 - Elsevier
There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning
and deep learning approaches in cardiovascular (CV) medicine. In the era of modern …

The role of artificial intelligence in echocardiography

T Barry, JM Farina, CJ Chao, C Ayoub, J Jeong… - Journal of …, 2023 - mdpi.com
Echocardiography is an integral part of the diagnosis and management of cardiovascular
disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in …

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 …

[HTML][HTML] Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review

NE Almansouri, M Awe, S Rajavelu, K Jahnavi… - Cureus, 2024 - ncbi.nlm.nih.gov
Cardiovascular diseases (CVDs) are significant health issues that result in high death rates
globally. Early detection of cardiovascular events may lower the occurrence of acute …

Artificial intelligence in cardiology: fundamentals and applications

X Watson, J D'Souza, D Cooper… - Internal Medicine …, 2022 - Wiley Online Library
Artificial intelligence (AI) is an overarching term that encompasses a set of computational
approaches that are trained through generalised learning to autonomously execute specific …

Clinical inference from cardiovascular imaging: paradigm shift towards machine-based intelligent platform

K Seetharam, N Kagiyama, S Shrestha… - … Treatment Options in …, 2020 - Springer
Purpose of review Diagnostic imaging plays an indispensable role in the modern
management of cardiovascular diseases. Despite significant advances in imaging …

Artificial Intelligence–Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome

BK Koo, S Yang, JW Jung, J Zhang, K Lee… - JACC: Cardiovascular …, 2024 - Elsevier
Background A lesion-level risk prediction for acute coronary syndrome (ACS) needs better
characterization. Objectives This study sought to investigate the additive value of artificial …

From CT to artificial intelligence for complex assessment of plaque-associated risk

D Opincariu, T Benedek, M Chițu, N Raț… - … International Journal of …, 2020 - Springer
The recent technological developments in the field of cardiac imaging have established
coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in …

[HTML][HTML] Artificial intelligence and echocardiography

YE Yoon, S Kim, HJ Chang - Journal of Cardiovascular Imaging, 2021 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is evolving in the field of diagnostic medical imaging, including
echocardiography. Although the dynamic nature of echocardiography presents challenges …