Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
The model demonstrated high accuracy in classifying the middle ear state in young, anesthetized children. Developing an effective deep learning model using diverse, age-representative images from affordable digital otoscopes may move us closer to real-world applications of such technology in clinical practice to validate the role of telemedicine and improve antibiotic stewardship.
Authors
- Steven L. Goudy (ORCID: https://orcid.org/0000-0002-8255-3965)
- Andrew R. Scott (ORCID: https://orcid.org/0000-0003-0856-3396)
- Abby Nolder
- Kristan Alfonso (ORCID: https://orcid.org/0000-0002-1803-5282)
- Deanne King (ORCID: https://orcid.org/0000-0002-7515-9118)
- Nikhil Rangarajan (ORCID: https://orcid.org/0000-0002-3655-0579)
- Gresham T. Richter (ORCID: https://orcid.org/0000-0003-3423-1213)
- Sean Evans (ORCID: https://orcid.org/0000-0002-3903-2363)
- Sruthi Surapaneni (ORCID: https://orcid.org/0009-0009-8946-6520)
- Kara K. Prickett (ORCID: https://orcid.org/0000-0002-0786-6056)
- Mark A. Vecchiotti
- Anita Deshpande (ORCID: https://orcid.org/0000-0001-6920-2864)
- Anna H. Messner
- Kyle P. Davis (ORCID: https://orcid.org/0000-0002-7333-9000)
- Graham M. Strub (ORCID: https://orcid.org/0000-0002-2585-4956)
- April M. Landry
- Alexander P. Marston (ORCID: https://orcid.org/0000-0001-7407-4334)
- Catherine A. St. Hill
- Nandini Govil (ORCID: https://orcid.org/0000-0002-6022-5119)
- Deepak Mehta
- John L. Flowers
- Katherine Pletcher
Institutions
- Boston University (US)
- Massachusetts Eye and Ear Infirmary (US)
- Tufts Medical Center (US)
- Arkansas Children's Hospital (US)
- Emory University (US)
- Baylor College of Medicine (US)
- Rochester Christian University (US)
- Minneapolis Public Schools (US)
- Children's Healthcare of Atlanta (US)
- Texas Children's Hospital (US)
- Saint Louis University (US)
- University of Arkansas for Medical Sciences (US)
- University of California, Davis (US)
- Michigan State University (US)
Publication Details
- Journal
- Otolaryngology
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1002/ohn.70031
- Primary Topic
- Ear Surgery and Otitis Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00