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The coronavirus disease 2019 pandemic has underscored the limitations of traditional diagnostic methods, particularly in ensuring the safety of healthcare workers and patients during infectious outbreaks. Smartphone-based digital stethoscopes enhanced with artificial intelligence (AI) have emerged as potential tools for addressing these challenges by enabling remote, efficient, and accessible auscultation. Despite advancements, most existing systems depend on additional hardware and external processing, increasing costs and complicating deployment.

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Background: Lung auscultation using a smartphone built-in microphone is promising for home monitoring of pediatric respiratory diseases. Our aim was to compare respiratory sounds recorded by a smartphone and a digital stethoscope by assessing the proportion of quality recordings and adventitious sounds detected by each device.

Methods: A comparative early feasibility study with children from a public school in Northern Portugal was conducted.

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A smartphone-based technology combining a digital stethoscope (DS) with simultaneous phonocardiography (PCG) and 1-lead electrocardiogram (ECG) is available. The aim of the present study was to evaluate the sensitivity and specificity of the DS for the detection of heart disease in cats considering transthoracic echocardiography as gold standard. The study is prospective and observational inlcuding 42 client-owned cats.

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Smartphone-based technology is increasingly used in veterinary medicine as a complementary tool for cardiac auscultation and ECG recording. This prospective observational study evaluates a digital stethoscope (DS) that consists of simultaneous phonocardiographic and one-lead ECG recording (dECG) in adult horses, comparing it with auscultation using a conventional stethoscope (CS) and reference base-apex ECG (rECG). A total of 104 horses underwent cardiac auscultation using CSs and DSs to detect arrhythmias and murmurs.

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