Work

Using Machine Learning to Predict Cochlear Implant Outcomes

Year: 2026

Type: article

Study design: Observational Study

Source: Audiology and Neurotology

DOI: 10.1159/000550216

Authors: Madeleine Anthonisen, Diane S. Lazard, Alexandre Lehmann

Institutions: Université de Sherbrooke, Centre National de la Recherche Scientifique, Inserm, Institut Pasteur, Université Paris Cité, Princess Grace Hospital Centre, Fondation Pour l'Audition, Institut de l'Audition, McGill University

Language: English

Topic: Hearing Loss and Rehabilitation

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7124167891

FWCI:

Cites: 29

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