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The field of hearing diagnostics is on the cusp of a revolution, driven by the integration of artificial intelligence (AI) into otoacoustic emissions (OAEs) testing. Standard OAE analysis relies largely on human interpretation of acoustic signals generated by the inner ear. However, AI-powered algorithms possess the potential to substantially enhan

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