Home 2025

Archives

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.
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.
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.
Adult woman with a hearing impairment uses a hearing aid to communicate with her female friend at city park. Hearing solutions, sensorineural hearing loss

Precision medicine: Sensorineural hearing loss treatment

Aarno Dietz, Professor of Otorhinolaryngology at Kuopio University Hospital, turns the spotlight on hospital precision medicine, focusing on the treatment of sensorineural hearing loss.

Follow Us

Advertisements

Open Access Government

Open Access Government produces compelling and informative news, publications, eBooks, and academic research articles for the public and private sector looking at health, diseases & conditions, workplace, research & innovation, digital transformation, government policy, environment, agriculture, energy, transport and more.

Follow Us

Resources

Quick Links

Legal & Marketing

As a Crossref Sponsored Member we are able to connect your content with a global network of online scholarly research, currently over 20,000 other organizational members from 160 countries. Crossref drive metadata exchange and support nearly 2 billion monthly API queries, facilitating global research communication.

© Adjacent Digital Politics Ltd