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Figure 1: Box plots of performance measures showing all data points of 250 patients at three months across AzBio in Quiet, AzBio in Background Noise, and CNC in Quiet. All measurements were made with the CI-only condition. There was substantial variability across all speech recognition measures among CI recipients.

Predicting cochlear implant performance: Impact of demographic, audiologic, surgical factors, and cochlear health

Amit Walia, Matt Shew and Craig A. Buchman from Washington University School of Medicine, explain the challenges of understanding variables or factors informing CI performance and how this can be addressed.

Hearing and auditory research for cochlear implant outcomes

Amit Walia, Matthew Shew, and Craig A Buchman from Washington University School of Medicine, guide us through hearing and auditory research predictive models for cochlear implant outcomes in adults.
Department of Otolaryngology-Head & Neck Surgery

Hearing loss research: The predictors of cochlear implant performance

Here, researchers explain how important predicting the performance of cochlear implants is to protect these people.

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