Abby Nolder
Associate Professor
Faculty Researcher
Otolaryngology, College of Medicine
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Abby Nolder's research focuses on the application of artificial intelligence and machine learning to improve medical diagnostics and educational strategies, particularly within pediatrics and otolaryngology. Her work investigates the development of algorithms for unbiased classification of pediatric middle ear disease and the use of consumer-grade otoscopes for artificial intelligence classification of middle ear effusion. Nolder also explores innovative methods for caregiver education, including the utilization of training dolls to enhance confidence in pediatric tracheostomy care. She has published on process improvement in surgical settings and bias reduction in residency recruitment. Nolder's scholarship metrics include an h-index of 6, with 16 total publications and 165 total citations. She collaborates with several researchers at the University of Arkansas for Medical Sciences, including Gresham T. Richter, Deanne King, and Graham M. Strub.
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)
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Detection of Respiratory Pathogens Does Not Predict Risks After Outpatient Adenotonsillectomy (2020)
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Routine pathologic examination of tonsillectomy specimens: A 10-year experience at a tertiary care children's hospital (2017)
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The impact of tobacco exposure on development of otorrhea after myringotomy tube placement (2016)
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The Infant With Noisy Breathing (2015)
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Carinal resection and reconstruction following inflammatory myofibroblastic tumor resection: A case report (2015)
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Paediatric cervical lymphadenopathy (2013)
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Ectopic Thymus Presenting as a Retropharyngeal Mass: Surgical Approach (2013)
Grants & Funding
As listed on this researcher's institutional profile.
- 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
- DePuySynthes Education Grant DePuy Synthes Companies Principal Investigator
- AAO-HNS Annual Meeting DePuy Synthes Companies Principal Investigator
Collaboration Network
Top Collaborators
- Process improvement strategy to implement an outpatient surgery center efficiency model in an academic inpatient setting
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Utilization of Training Dolls to Enhance Caregiver Education for Pediatric Tracheostomy Care
- Improving Caregiver Confidence in Pediatric Tracheostomy Care Through the Use of Training Dolls
- A novel algorithm to reduce bias and improve the quality and diversity of residency interviewees
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- A novel algorithm to reduce bias and improve the quality and diversity of residency interviewees
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
- Process improvement strategy to implement an outpatient surgery center efficiency model in an academic inpatient setting
- Process improvement strategy to implement an outpatient surgery center efficiency model in an academic inpatient setting
- Process improvement strategy to implement an outpatient surgery center efficiency model in an academic inpatient setting
- Improving Caregiver Confidence in Pediatric Tracheostomy Care Through the Use of Training Dolls
- Improving Caregiver Confidence in Pediatric Tracheostomy Care Through the Use of Training Dolls
- A novel algorithm to reduce bias and improve the quality and diversity of residency interviewees
- A novel algorithm to reduce bias and improve the quality and diversity of residency interviewees
- Utilization of Training Dolls to Enhance Caregiver Education for Pediatric Tracheostomy Care
- Utilization of Training Dolls to Enhance Caregiver Education for Pediatric Tracheostomy Care
- Utilization of Training Dolls to Enhance Caregiver Education for Pediatric Tracheostomy Care
- Toward an Unbiased Deep Learning Classifier of Pediatric Middle Ear Disease
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