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Author

S. Khurshid

2 papers indexed here

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Nov 2026

Abstract 17050: Complementary Predictive Utility of Disease-Specific Electrocardiogram-Based Artificial Intelligence Models

Background: Electrocardiogram-based artificial intelligence (ECG-AI) models can predict future incidence of specific cardiovascular conditions, but the extent to which ECG-AI models encode truly disease-specific signals versus general cardiovascular risk remains poorly understood. If present, the ability to leverage...

Abdulla Shahid, S. Kany, S. Friedman et al. · 0 citations
Open access Oct 2026

Multimodal prediction of incident heart failure using clinical data, polygenic risk scores, and electrocardiogram-based artificial intelligence

Heart failure (HF) is a progressive syndrome associated with high morbidity and mortality. The presence of clinically overt HF is a marker of worsening prognosis, highlighting opportunities for upstream prevention targeting at-risk individuals. Several methods to predict future HF exist, including clinical risk f...

A. Shahid, S. Kany, S. Friedman et al. · 0 citations

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