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Figure 1. Comparison of prediction models in A) two-dimensional (2D) and B) three-dimensional (3D) analyses. The 2D model demonstrates a poor-fitting linear relationship constrained by limited variables. In contrast, the 3D model incorporates an additional dimension, providing a better fit and improved predictive accuracy. This highlights how multi-dimensional analysis, such as those enabled by machine learning, can uncover more complex relationships within heterogeneous clinical and biological data.

Predicting cochlear implant performance: Moving beyond single biomarkers and leveraging artificial intelligence

Matthew Shew, Amit Walia, and Craig A. Buchman highlight that the significant variability in speech perception among cochlear implant users can be addressed by using a multi- faceted approach that incorporates emerging technologies like machine learning and artificial intelligence to improve outcome prediction models.
Figure 1: Electrocochleography-total response (ECochG-TR) measured at the round window prior to cochlear implant insertion (RW-ECochG-TR) shows a weak correlation with performance in noise (AzBio +10 dB signal-to-noise ratio). Similarly, the MoCA score, a measure of cognitive function, also exhibits a weak correlation with performance in noise. However, a multivariate model incorporating both cochlear health (ECochG-TR), cognition (MoCA score), and their interaction (product of ECochG-TR and MoCA) explains 46.0% of the variability in noise performance. This finding suggests that while good cochlear health is necessary for strong performance in noise, it is not sufficient on its own – it must be complemented by adequate cognitive function.

Cognitive function and electrode mapping’s role in cochlear implant performance

Amit Walia, Matthew Shew and Craig A. Buchman from Washington University School of Medicine, detail the role of cognitive function and electrode mapping in cochlear implant performance.
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.
Wireframe of the internal structure of the human ear. 3D. Front view. Vector illustration.

Glutamate excitotoxicity in the cochlea

Mark Rutherford, Associate Professor at Washington University School of Medicine, discusses the burden and causes of hearing dysfunction, as well as the possible solutions for mitigating glutamate excitotoxicity.

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