Researchers have created a dataset of optical coherence tomography (OCT) images from guinea pigs with cochlear implants to study fibrosis and its impact on residual hearing. They used computer vision techniques to identify fibrotic areas in the images and found that a modified version of the UNET architecture performed best. The dataset and project code are available online. --- Why it matters: This work matters because it demonstrates the potential for deep learning models to help understand and mitigate cochlear implant-induced fibrosis, which can affect residual hearing function. Source: https://arxiv.org/abs/2608.21189