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Author

E. Orstad

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Open access Sep 2026

Associations between echocardiographic traits and artificial intelligence-enabled electrocardiography predictions of heart failure

Abstract Aims Artificial intelligence-enabled electrocardiography (AI–ECG) can detect heart failure (HF), including disease not captured by left ventricular ejection fraction (LVEF), but the cardiac phenotypes underlying AI–ECG HF prediction remain unclear. We therefore investigated whether an AI–ECG HF prediction scor...

E. Stenhede, E. Orstad, T. Omland et al. · 0 citations
Aug 2026

Rationale, design and baseline characteristics of the cardio-oncology registry (CARE) study: a prospective, observational study of cardiotoxic effects during breast cancer therapy

The CARE study is a large prospective observational cardio-oncology study evaluating the incidence of CTRCD after contemporary breast cancer therapy regimens and the performance of the HFA-ICOS risk stratification tool and follow-up strategies in routine cardio-oncology care.

V. Vinje, E. Orstad, G. Gulati et al. · 0 citations

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