A
Abby Nolder
Associate Professor
faculty
Otolaryngology, College of Medicine
6 h-index
16 pubs
165 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Abby Nolder's research focuses on the application of artificial intelligence and deep learning to diagnose and manage pediatric ear diseases, particularly otitis media with effusion. Her work investigates novel algorithms designed to improve diagnostic accuracy and reduce bias in medical assessments. Nolder also contributes to medical education through the development of innovative training tools, such as using dolls to enhance caregiver education for pediatric tracheostomy care. Her collaborations within the University of Arkansas for Medical Sciences include shared publications with Gresham T. Richter, Deanne L. King, and Graham M. Strub, indicating a focused research network in her field. Recent publications highlight her interest in AI classification of pediatric middle ear disease and strategies for improving healthcare efficiency and diversity in medical training.
Metrics
- h-index: 6
- Publications: 16
- Citations: 165
Selected Publications
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Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease (2025)
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Utilization of Training Dolls to Enhance Caregiver Education for Pediatric Tracheostomy Care (2023)
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A novel algorithm to reduce bias and improve the quality and diversity of residency interviewees (2022)
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Improving Caregiver Confidence in Pediatric Tracheostomy Care Through the Use of Training Dolls (2021)
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Process improvement strategy to implement an outpatient surgery center efficiency model in an academic inpatient setting (2021)
Grants & Funding
- Synthese Travel Grant for AO Principles DePuy Synthes Companies Principal Investigator
- AAO-HNSF 2018 Annual Meeting Tuition & Travel Grant to DePuy Synthes DePuy Synthes Companies Principal Investigator
- 2017 AONA- AO Management of Facial Trauma Course DePuy Synthes Companies Principal Investigator
- Travel Grant for ENT Residents DePuy Synthes Companies Principal Investigator
- DePuy Synthes AO North America CMF Mgmt of Facial Trauma Nov. Course Travel DePuy Synthes Companies Principal Investigator
- 2017 AONA- AO Management of Facial Trauma Course DePuy Synthes Companies Principal Investigator
- DePuySynthes Education Grant DePuy Synthes Companies Principal Investigator
- AAO-HNS Annual Meeting DePuy Synthes Companies Principal Investigator
Collaboration Network
Top Collaborators
Sruthi Surapaneni
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Nikhil Rangarajan
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Kyle P. Davis
2 shared publications
In database
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Katherine Pletcher
University of Arkansas for Medical Sciences (US)
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
John L. Flowers
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Graham M. Strub
2 shared publications
In database
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Deanne King
2 shared publications
In database
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Alexander P. Marston
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Mark A. Vecchiotti
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Kristan Alfonso
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Sean Evans
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Anita Deshpande
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Kara K. Prickett
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
April M. Landry
2 shared publications
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Artificial intelligence classification of pediatric middle ear effusion using consumer-grade otoscopes
Steven L. Goudy
2 shared publications
- 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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