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Open access Oct 2026

A scalable electronic medical record–based risk score for predicting heart failure in cancer survivors: external validation of CHERISH

Early identification of cancer survivors at risk of heart failure (HF) is essential to enable preventive intervention. Existing tools such as the HFA-ICOS (Heart Failure Association and the International Cardio-Oncology Society) risk score incorporate clinical examination, cardiac biomarkers and imaging, limiting...

C. Soh, M. Gynnild, H. Dalen et al. · 0 citations
Open access Oct 2026

Comparison of AI-assisted ECG and clinical risk scores in selecting individuals with type 2 diabetes for screening for asymptomatic heart failure

Early identification of stage B heart failure (SBHF) in individuals with type 2 diabetes mellitus (T2DM) may allow timely initiation of cardioprotective therapies and help prevent progression to symptomatic heart failure. However, cardiovascular risk in T2DM is heterogeneous, and a selection process for echocardi...

A. Węgrzyn-Witek, C. Soh, W. Kosmala et al. · 0 citations
Open access Oct 2026

Artificial intelligence–enhanced electrocardiography for detection of subclinical left ventricular dysfunction in cancer survivors

Artificial intelligence-enhanced electrocardiogram shows moderate discrimination for subclinical HF, with significant improvement in predictive accuracy when combined with CHERISH risk score among cancer survivors, and compares it with clinically-derived and electronic medical record-based HF risk scores.

J. Chen, De A. B. Sa, J. Wong et al. · 0 citations

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