Key result
The provided abstract contains only background information and reports no quantitative results for the smartphone-based AI-enhanced ECG.
Why the study?
Does smartphone-based AI-enhanced ECG accurately detect left ventricular systolic dysfunction in patients with Chagas disease?
Observational
Does smartphone-based AI-enhanced ECG accurately detect left ventricular systolic dysfunction in patients with Chagas disease?
Smartphone-based AI-enhanced ECG may provide a scalable tool for detecting left ventricular systolic dysfunction in Chagas disease, particularly in resource-limited settings.
Answers are grounded in this paper and cite their sources.
May expand Chagas screening access in endemic regions; leaves open prospective validation and outcome impact.
Chagas disease (ChD) is a largely neglected tropical disease with an estimated global prevalence of 6–7 million infected individuals, most of whom reside in Latin America.1 The growing migration of Latin American communities to other world regions is shifting the global prevalence of the disease to previously unaffected regions,2,3 where it often remains undiagnosed owing to low clinical awareness.4 Untreated, the natural course of the disease may go silent in the majority of infected individuals, but 20%–30% will develop chronic Chagas cardiomyopathy (CCC), a progressive and often arrhythmogenic form associated with heart failure.
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Leyva et al. (2025) conducted an observational in Chagas Disease. Smartphone-based AI-enhanced ECG was evaluated. The provided abstract contains only background information and reports no quantitative results for the smartphone-based AI-enhanced ECG.
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