Work

Interpretable Multimodal AI to predict the Presence of Late Gadolinium Enhancement on Cardiac Magnetic Resonance Imaging in Cardiac Sarcoidosis Patients

Year: 2026

Type: article

Source: Circulation Arrhythmia and Electrophysiology

DOI: 10.1161/circep.125.014627

Authors: Ishan Vatsaraj, Shane Loeffler, Eugene G. Kholmovski, Maryam Mojarrad Sani, Nisha A. Gilotra, Jonathan Chrispin, Natalia A. Trayanova

Institution: Johns Hopkins University

Language: English

Topic: Sarcoidosis and Beryllium Toxicity Research

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute

Awards: Heart Digital Twin Analysis of Arrhythmias due to Infiltrating Adiposity, Artificial intelligence analysis of atrial remodeling evolution in patients with atrial fibrillation: Towards optimal ablation strategies

OpenAlex ID: W7165144404

FWCI:

Cites: 5

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Related to: 10