A Machine Learning Framework for Predicting Speech Outcomes in Cochlear Implant Recipients Using Genetic Markers

This study develops an AI-based Random Forest framework that integrates genetic variants and demographic data to accurately predict speech outcomes after cochlear implantation, supporting personalized prognosis and rehabilitation strategies.

Posted by buchanle on Friday, May 15th, 2026 in May 2026, Cochlear implants, genotype, hearing loss, Machine learning, speech outcomes

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