Optical Coherence Tomography (OCT) has shown its detection and diagnostic capabilities for otitis media (OM), enabling visualization through scattering tissues including the tympanic membrane and biofilms, and into the middle ear cavity. Preliminary results from an ongoing five-year 235-subject study at Children’s Wisconsin, Medical College of Wisconsin, are presented. A vision-language machine learning model was trained on OCT image features and clinical metadata to differentiate OM disease states and predict required interventions. This study demonstrates the prognostic value of OCT in assessing OM and offers the potential for improving the management of patients with OM.
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