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Journal of ENT and Allied Sciences 11(1):p 07-10, Jan -June 2026. | DOI: https://doi.org/10.21088/jeas.2456.5024.11126.1
Original Article
Artificial Intelligence: An Aid in Diagnosis by Otoscopy
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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
Journal of ENT and Allied Sciences 11(1):p 07-10, Jan -June 2026. | DOI: https://doi.org/10.21088/jeas.2456.5024.11126.1
How Cite This Article:
Keshav Gupta. Artificial Intelligence: An Aid in Diagnosis by Otoscopy. J ENT Allied Sci 2025; 10(2): 07–10.Timeline
Received : February 03, 2026
Accepted : March 05, 2026
Published : June 30, 2026
Abstract
Recent advancements in artificial intelligence (AI) have significantly enhanced diagnostic capabilities across medical specialties. This paper explores the integration of AI in otoscopy, a fundamental procedure in otolaryngology for evaluating the ear canal and tympanic membrane. By leveraging machine learning algorithms and deep neural networks, AI systems can analyze otoscopic images with high accuracy, supporting clinicians in detecting conditions such as otitis media, tympanic membrane perforations, and cerumen impaction. This study compares AI-assisted otoscopy diagnosis in 100 patients and diagnosis on otoscopy alone in other 100 patients with the diagnosis established on examination under microscope (EUM) in all 200 patients. The findings suggest that AI-assisted otoscopy improves the diagnostic accuracy by 6%. AI assisted otoscopy holds substantial promise for improving diagnostic consistency, reducing disparities in care, and enabling early intervention in underserved populations.
References
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Data Sharing Statement
There are no additional data available. All raw data and code are available upon request.
Funding
This research received no funding.
Author Contributions
All authors contributed significantly to the work and approve its publication.
Ethics Declaration
This article does not involve any human or animal subjects, and therefore does not require ethics approval.
Acknowledgements
We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.
Conflicts of Interest
No conflicts of interest in this work.
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Cite this article
Keshav Gupta. Artificial Intelligence: An Aid in Diagnosis by Otoscopy. J ENT Allied Sci 2025; 10(2): 07–10.
Licence:
Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
| Received | Accepted | Published |
|---|---|---|
| February 03, 2026 | March 05, 2026 | June 30, 2026 |
DOI: https://doi.org/10.21088/jeas.2456.5024.11126.1
Keywords
Artificial IntelligenceMachine LearningDeep LearningOtoscopyOtitis MediaTympanic MembraneDigital OtoscopeTelemedicineDiagnostic AccuracyPediatric OtolaryngologyComputer-Aided DiagnosisCNNSearch for Similar Articles
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Timeline
| Received | February 03, 2026 |
| Accepted | March 05, 2026 |
| Published | June 30, 2026 |
licence
Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
