Advancements and applications of artificial intelligence in cardiovascular imaging: a comprehensive review

F Fortuni, G Ciliberti, B De Chiara… - European Heart …, 2024 - academic.oup.com
Artificial intelligence (AI) is transforming cardiovascular imaging by offering advancements
across multiple modalities, including echocardiography, cardiac computed tomography …

[HTML][HTML] The impact of type 2 diabetes on left ventricular function in hypertensive patients: a three-dimensional speckle-tracking imaging study

Y Qingmei, C **aoyan, F Jianxiu - Frontiers in Cardiovascular …, 2025 - pmc.ncbi.nlm.nih.gov
Objectives The study aimed to evaluate the impact of the co-occurrence of hypertension and
type 2 diabetes mellitus (T2DM) on the deterioration of left ventricular (LV) structure and …

Constructing a knowledge-driven and data-driven hybrid decision model for etiological diagnosis of Ventricular Tachycardia

W Min, HU Zhao, XU **aowei, Z Si… - Medical Journal of …, 2024 - xhyxzz.pumch.cn
Objective Constructing a trustworthy and highly accurate hybrid decision model
incorporating knowledge-driven and data-driven model, and applying it to the field of …

Sudden cardiac death in hyperthrophic cardiomyopathy: Comparison of predictive models

MF Bayar, E Bennour, ZIEL Hadj, O Zidi, AB Hlima… - latunisiemedicale.com
Introduction: Sudden cardiac death (SCD) risk stratification for primary prevention in patients
with sarcomeric hypertrophic cardiomyopathy (HCM) has recently been reinforced by the …

融合知识驱动和数据驱动的混合决策模型构建: 以室性心动过速病因诊断为例

王敏, 胡兆, 徐晓巍, 郑思, **姣, 姚焰 - 协和医学杂志, 2024 - xhyxzz.pumch.cn
目的构建一个融合知识驱动和数据驱动的混合决策模型, 并将其应用于室性心动过速的病因诊断
. 方法检索2018-2023 年心律失常疾病领域的临床实践指南, 专家共识和医学文献作为知识源 …