Adopting artificial intelligence in cardiovascular medicine: A sco** review

H Makimoto, T Kohro - Hypertension Research, 2024 - nature.com
Recent years have witnessed significant transformations in cardiovascular medicine, driven
by the rapid evolution of artificial intelligence (AI). This sco** review was conducted to …

Great debate: all patients with asymptomatic severe aortic stenosis need valve replacement

B Iung, L Pierard, J Magne… - European Heart …, 2023 - academic.oup.com
Department of Cardiology III—Adult Congenital and Valvular Heart Disease, University
Hospital Muenster, Muenster, Germany Aortic stenosis (AS) has become a significant health …

Multi-modality imaging in aortic stenosis: an EACVI clinical consensus document

MR Dweck, K Loganath, R Bing… - European Heart …, 2023 - academic.oup.com
In this EACVI clinical scientific update, we will explore the current use of multi-modality
imaging in the diagnosis, risk stratification, and follow-up of patients with aortic stenosis, with …

Prognostic value of left ventricular myocardial work indices in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement

HW Wu, F Fortuni, SC Butcher… - European Heart …, 2023 - academic.oup.com
Aims Left ventricular myocardial work (LVMW) is a novel echocardiographic-based method
to assess left ventricular (LV) function using pressure–strain loops taking into account LV …

Enhanced detection of severe aortic stenosis via artificial intelligence: a clinical cohort study

G Strange, S Stewart, A Watts, D Playford - Open Heart, 2023 - openheart.bmj.com
Objective We developed an artificial intelligence decision support algorithm (AI-DSA) that
uses routine echocardiographic measurements to identify severe aortic stenosis (AS) …

Systemic proinflammatory− profibrotic response in aortic stenosis patients with diabetes and its relationship with myocardial remodeling and clinical outcome

HJ Lee, CS Park, S Lee, JB Park, HK Kim… - Cardiovascular …, 2023 - Springer
Background Previous studies have mainly focused more on how diabetes affects the valve
than the myocardium in aortic stenosis (AS). In the pressure-overloaded heart, myocardial …

[HTML][HTML] Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review

M Gorecka, MM Bissell, DM Higgins, P Garg… - Journal of …, 2022 - Elsevier
Background Accurate evaluation of valvular pathology is crucial in the timing of surgical
intervention. Whilst transthoracic echocardiography is widely available and routinely used in …

[HTML][HTML] Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to …

Q Zhang, A Fotaki, S Ghadimi, Y Wang… - Journal of …, 2024 - Elsevier
Background Cardiovascular magnetic resonance (CMR) is an important imaging modality
for the assessment of heart disease; however, limitations of CMR include long exam times …

Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes

J Li, Y Yu, Y Sun, Y Fu, W Shen, L Cai, X Tan, Y Cai… - Elife, 2024 - elifesciences.org
Background: Identification of individuals with prediabetes who are at high risk of develo**
diabetes allows for precise interventions. We aimed to determine the role of nuclear …

Cardiac death after transcatheter aortic valve replacement with contemporary devices

J Mesnier, J Ternacle, AN Cheema… - Cardiovascular …, 2023 - jacc.org
Background The burden of cardiac death after transcatheter aortic valve replacement
(TAVR), particularly from advanced heart failure (HF) and sudden cardiac death (SCD) …