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A Hybrid Deep Learning Approach to Identify Preventable Childhood Hearing Loss.
Jin, Felix Q; Huang, Ouwen; Kleindienst Robler, Samantha; Morton, Sarah; Platt, Alyssa; Egger, Joseph R; Emmett, Susan D; Palmeri, Mark L.
Affiliation
  • Jin FQ; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
  • Huang O; These Authors contributed equally to this work.
  • Kleindienst Robler S; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
  • Morton S; These Authors contributed equally to this work.
  • Platt A; Department of Audiology, Norton Sound Health Corporation, Nome, Alaska, USA.
  • Egger JR; Department of Otolaryngology-Head and Neck Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
  • Emmett SD; Duke Global Health Institute, Durham, North Carolina, USA.
  • Palmeri ML; Duke Global Health Institute, Durham, North Carolina, USA.
Ear Hear ; 44(5): 1262-1270, 2023.
Article in En | MEDLINE | ID: mdl-37318215
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Full text: 1 Database: MEDLINE Main subject: Deafness / Deep Learning / Hearing Loss Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Child / Humans Language: En Year: 2023 Type: Article
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Deafness / Deep Learning / Hearing Loss Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Child / Humans Language: En Year: 2023 Type: Article