AIMC Journal:
NPJ cardiovascular health

Showing 1 to 5 of 5 articles

Improving arrhythmic risk prediction using cardiac magnetic resonance within deep learning in ischemic heart disease.

NPJ cardiovascular health
Sudden arrhythmic death remains a major clinical risk in ischemic heart disease (IHD), underscoring the need for improved risk stratification. Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) provides measures of scar burden and heter...

Optimizing single-lead ECG axis for AI-based detection of myocardial diseases.

NPJ cardiovascular health
Wearable devices enable electrocardiograms (ECGs) outside traditional healthcare settings. While these devices are usually equipped with single-lead ECGs to monitor rhythm abnormalities, recent studies show utility in detecting myocardial diseases wh...

Enabling ankle-brachial index prediction from doppler sounds using deep learning.

NPJ cardiovascular health
The ability to perform accurate point-of-care assessment of limb perfusion is critical for safe clinical decision-making. A formal ankle-brachial index (ABI) is typically required prior to supervised exercise therapy (SET) for peripheral arterial dis...

A view-flexible deep learning framework for automated analysis of 2D echocardiography.

NPJ cardiovascular health
Echocardiography traditionally requires experienced operators to select and interpret clips from specific viewing angles. Clinical decision-making is therefore limited for handheld cardiac ultrasound (HCU), which is often collected by novice users. I...

Precision percutaneous coronary intervention.

NPJ cardiovascular health
Precision-based percutaneous coronary intervention (PCI) integrates contemporary strategies across the pre-, intra-, and post-procedural phases to improve outcomes and minimize complications. Emerging evidence underscores the value of these strategie...