Is COVID-19 to Blame for Sensorineural Hearing Deterioration? A Pre/Post COVID-19 Hearing Evaluation Study.

Objectives: Here, we aimed to (a) determine whether a clinically significant sensorineural hearing loss (SNHL) change could be detected in post-coronavirus disease (COVID-19) hearing levels on comparing them with pre-infection hearing levels after controlling for the effect of age and (b) to identify risk factors, such as hypertension, diabetes, and smoking, which increase the likelihood of hearing loss in COVID-19 patients.

Methods: We retrospectively analyzed hearing thresholds in unvaccinated patient's pre- and post-COVID-19 infection. Thresholds were controlled for age and the duration between the pre- and post-COVID-19 hearing evaluations.

Medical image categorization and retrieval for PACS using the GMM-KL framework.

This paper presents an image representation and matching framework for image categorization in medical image archives. Categorization enables one to determine automatically, based on the image content, the examined body region and imaging modality. It is a basic step in content-based image retrieval (CBIR) systems, the goal of which is to augment text-based search with visual information analysis.