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Antibiotics are a mainstay of the treatment of lower respiratory infections in young children even though most episodes are caused by self-limiting viruses. Innovative child friendly tools that improve the diagnosis of respiratory illnesses, safely reduce the unnecessary use of antibiotics, and are suitable for implementation in resource-constrained settings are urgently required to safely improve antibiotic stewardship and stem the rising rates of antibiotic resistance globally. In the Bangladesh Lung Auscultation Artificial Intelligence for Antibiotic Stewardship Trial (BLAAAST) the investigators aim to determine whether treatment failure frequency among children in rural Bangladesh managed by clinical guidelines enhanced by a commercially available, artificial intelligence (AI)-enabled digital stethoscope is non-inferior to guidelines alone. The investigators hypothesize treatment fa
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