Author

F. Alahdab

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Open access Sep 2026

Global, Regional, and National Burden of Heart Failure, 1990-2023: A Systematic Analysis for the Global Burden of Disease Study 2023.

Importance Heart failure (HF) is a common condition with substantial geographical variation in its prevalence and underlying etiologies. Consistent and comparable data on the burden of HF within populations are needed to inform health system priorities. Objective To estimate the global burden of HF. Design, Setting...

Catherine O. Johnson, Madineh Abbasi, M. Abbasifard et al. · JAMA cardiology · 1 citation

Beyond clinical variables: Machine learning integration of clinical and contextual factors for predicting heart failure readmissions

This study used machine learning to integrate clinical and socioeconomic factors to improve prediction accuracy in heart failure patients and found that on the test set, random forest and XGBoost outperformed logistic regression.

Abdullah al Marrawi, F. Alahdab, Faha Facc et al. · 0 citations

Review Open access Jul 2026

From Algorithm to Bedside: A Clinician's Framework for AI in Practice

This article proposes seven questions that clinicians can run through to evaluate any clinical AI tool in the time it takes to read an abstract, alongside a traffic-light schema for matching oversight to risk and a short list of demands clinicians should make of vendors and institutions.

Alaa Abdelqader, M. Alkhateeb, Abdullah Al-Marrawi et al. · Avicenna Journal of Medicine · 0 citations