Using Machine Learning to Predict Cochlear Implant Outcomes

Machine learning models modestly improve cochlear implant outcome prediction, though substantial variance remains unexplained (>80%). Critical determinants of cochlear implant performance likely extend beyond variables routinely measured in clinical practice, highlighting the need for novel predictive factors.

Authors

Diane S. Lazard (ORCID: https://orcid.org/0000-0001-8329-1381)
Alexandre Lehmann (ORCID: https://orcid.org/0000-0002-6703-872X)
Madeleine Anthonisen

Institutions

Centre National de la Recherche Scientifique (FR)
Université de Sherbrooke (CA)
Inserm (FR)
Institut Pasteur (FR)
Université Paris Cité (FR)
Princess Grace Hospital Centre (MC)
Assistance Publique – Hôpitaux de Paris (FR)
McGill University (CA)

Publication Details

Journal: Audiology and Neurotology
Published: 2026-01-14
DOI: https://doi.org/10.1159/000550216
Primary Topic: Hearing Loss and Rehabilitation
Type: article
Field-Weighted Citation Impact: 0.00

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article

Using Machine Learning to Predict Cochlear Implant Outcomes

Diane S. Lazard, Alexandre Lehmann, Madeleine Anthonisen

Jan 14, 2026

Audiology and Neurotology

Hearing Loss and Rehabilitation

article

Using Machine Learning to Predict Cochlear Implant Outcomes

Diane S. Lazard, Alexandre Lehmann, Madeleine Anthonisen

January 14, 2026article en

Abstract

Machine learning models modestly improve cochlear implant outcome prediction, though substantial variance remains unexplained (>80%). Critical determinants of cochlear implant performance likely extend beyond variables routinely measured in clinical practice, highlighting the need for novel predictive factors.

Audiology and Neurotology

Centre National de la Recherche Scientifique (FR), Université de Sherbrooke (CA), Inserm (FR), Institut Pasteur (FR), Université Paris Cité (FR), Princess Grace Hospital Centre (MC), Assistance Publique – Hôpitaux de Paris (FR), McGill University (CA)

Quality Education

Openalex Percentile: Top 88%

Hearing Loss and Rehabilitation

DOI Source OpenAlex

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Using Machine Learning to Predict Cochlear Implant Outcomes — Diane S. Lazard, Alexandre Lehmann, et al. · Audiology and Neurotology (2026) | TGRS Research Map | TGRS