Automatic Interpretation of Pure-Tone Audiograms

This column chronicles the evolution of the standard pure-tone audiogram from its mid-twentieth-century data origins to recent deep-learning applications, highlighting how AI protocols aim to automate diagnostic interpretation while noting that future clinical success relies entirely on the quality and variety of data used to train these models.