STUDY OBJECTIVES
Polysomnography (PSG) is the gold standard for diagnosing sleep disorders, which are recognized as cardiovascular risk factors. Single-lead electrocardiograms (ECGs) are recorded during PSG but rarely analyzed, presenting an opportunity to leverage overnight ECGs for cardiovascular risk prediction.
M...
Z. Koscova, S. Nasiri, Matthew A. Reyna et al.· Sleep· 0 citations
While ECG-Age provides incremental predictive value beyond sex and CA alone, it does not provide additional predictive value when ECG features are included in the feature set for predicting adverse cardiac outcomes.
S. S. Mousavi, C. Raskind-Hood, A. Haffner et al.· 0 citations
Objective: Polygenic risk scores (PRS) for posttraumatic stress disorder (PTSD) often account for a low amount of variance. Ancestry-related differences in PRS scale and variance limit cross-group comparisons. This methodological challenge further complicates gene-by-environment (GxE) analyses, given that socioenvironm...
E. Webb, Aarti Jajoo, Vijetha Balakundi et al.· medRxiv· 0 citations
A Temporally-Aligned, Missingness-Aware, Interpretable (TAMI) multimodal fusion framework that aligns speech, language, facial, and physiological features within question-answer segments on a shared timeline, encodes modality-level missingness over time, and conditions fusion on question context is proposed.
M. Bibars, Bolaji Omofojoye, A. Levey et al.· 0 citations
Artificial intelligence-enhanced electrocardiography demonstrated good diagnostic performance for detecting LVDD and may support future rule-out or risk-enrichment strategies in selected populations, however, current evidence remains insufficient to support routine clinical implementation.
Johann A. C. Edjimbi, Nisarg Shah, L. Donisi et al.· European Heart Journal - Dig...· 1 citation
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