AI model for predicting adult cochlear implant candidacy using routine behavioral audiometry.
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| Title: | AI model for predicting adult cochlear implant candidacy using routine behavioral audiometry. |
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| Authors: | Carlson ML; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN, United States of America; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States of America. Electronic address: carlson.matthew@mayo.edu., Carducci V; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN, United States of America., Deep NL; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Phoenix, AZ, United States of America., DeJong MD; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN, United States of America., Poling GL; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN, United States of America., Brufau SR; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN, United States of America; Department of Biostatistics, Harvard University, Boston, MA, United States of America. |
| Source: | American journal of otolaryngology [Am J Otolaryngol] 2024 Jul-Aug; Vol. 45 (4), pp. 104337. Date of Electronic Publication: 2024 Apr 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Saunders Country of Publication: United States NLM ID: 8000029 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-818X (Electronic) Linking ISSN: 01960709 NLM ISO Abbreviation: Am J Otolaryngol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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