Katherine Pletcher
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Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Katherine Pletcher's research focuses on the application of artificial intelligence and deep learning to classify pediatric middle ear disease. She has investigated the potential for unbiased deep learning classifiers and explored the use of consumer-grade otoscopes for AI-driven classification of pediatric middle ear effusion. Pletcher also examines perioperative comorbidities and outcomes related to outpatient supraglottoplasty, specifically in the context of laryngomalacia and laryngoplasty. Her scholarly work includes publications in 2024 and 2025, with a current h-index of 1 across three publications.
Metrics
- h-index: 1
- Publications: 3
- Citations: 3
Selected Publications
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Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes (2025)
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Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease (2025)
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Is Outpatient Supraglottoplasty Possible? Examination of Perioperative Comorbidities and Outcomes (2024)
Collaboration Network
Top Collaborators
- Is Outpatient Supraglottoplasty Possible? Examination of Perioperative Comorbidities and Outcomes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
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