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. Traditional OAE analysis relies primarily on human interpretation of acoustic signals generated by the inner ear. However, AI-powered algorithms have the potential to markedly enhance

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