Development of a supervised machine learning prediction model to detect otitis media with effusion using smartphone tympanic membrane images
The supervised ML model demonstrated promising performance in detecting middle ear effusion from smartphone-captured TM images, highlighting the potential of ML to support OME diagnosis by healthcare professionals.
Authors
- Mohammed K. Alnoury (ORCID: https://orcid.org/0000-0001-9222-8501)
Institutions
- King Abdulaziz University (SA)
Publication Details
- Journal
- American Journal of Otolaryngology
- Published
- 2026-03-16
- DOI
- https://doi.org/10.1016/j.amjoto.2026.104804
- Primary Topic
- Ear Surgery and Otitis Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00