Prognostic value of optical coherence tomography (OCT) with machine learning for assessing clinical outcomes of otitis media

Alexander Ho; Qian Jiang; Katherine Peterson; Roxanne Link; Guillermo Monroy; Darold R. Spillman; Edita Aksamitiene; Joseph E. Kerschner; Stephen A. Boppart; Minh Do

doi:10.1117/12.3003143

13 March 2024 Prognostic value of optical coherence tomography (OCT) with machine learning for assessing clinical outcomes of otitis media

Alexander Ho, Qian Jiang, Katherine Peterson, Roxanne Link, Guillermo Monroy, Darold R. Spillman, Edita Aksamitiene, Joseph E. Kerschner, Stephen A. Boppart, Minh Do

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Proceedings Volume PC12818, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2024; PC1281801 (2024) https://doi.org/10.1117/12.3003143
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

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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Alexander Ho, Qian Jiang, Katherine Peterson, Roxanne Link, Guillermo Monroy, Darold R. Spillman, Edita Aksamitiene, Joseph E. Kerschner, Stephen A. Boppart, and Minh Do "Prognostic value of optical coherence tomography (OCT) with machine learning for assessing clinical outcomes of otitis media", Proc. SPIE PC12818, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2024, PC1281801 (13 March 2024); https://doi.org/10.1117/12.3003143

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KEYWORDS

Optical coherence tomography

Machine learning

Biofilms

Diseases and disorders

Tissues

Visual process modeling

Image resolution

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