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Evaluation of relationship between the language development and parental attitudes in children with cochlear implant.
Int J Pediatr Otorhinolaryngol
January 2025
Department of Audiology, Faculty of Health Science, Istanbul Aydin University, Istanbul, Turkey. Electronic address:
Objective: The primary aim of this study was to examine the relationship between parental attitudes and language development in preschool children with cochlear implants. In addition, the study aimed to examine parental attitudes in relation to socio-demographic and cochlear implant related variables.
Methods: This study is based on the relational survey model.
The effect of tonsillectomy on clinical manifestations in Familial Mediterranean fever.
Int J Pediatr Otorhinolaryngol
January 2025
Otorhinolaryngology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt; Medicine and Surgery Program, Menoufia National University, Menoufia, Egypt. Electronic address:
Purpose: Familial Mediterranean fever (FMF) is the most prevalent genetic autoinflammatory disease worldwide. There are several novel advancements in pathophysiology, genetic testing, diagnosis, comorbidities, disease-related damage, and treatment strategies. This study aimed to assess the effect of tonsillectomy on FMF disease severity and activity.
View Article and Find Full Text PDFPosttraumatic Stress Disorder Is Associated With Endothelial Dysfunction in Women With HIV.
JACC Adv
January 2025
Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia, USA. Electronic address:
Background: HIV induced endothelial dysfunction (ED) contributes to cardiovascular disease (CVD) in women with HIV (WWH). Although psychosocial stress has been implicated in the development of CVD in HIV, its impact on ED in WWH remains unknown.
Objectives: The authors hypothesized that posttraumatic stress disorder (PTSD) and HIV interact to contribute to ED in WWH.
Hybrid Data Augmentation Strategies for Robust Deep Learning Classification of Corneal Topographic MapTopographic Map.
Biomed Phys Eng Express
January 2025
National School of Electronics and Telecommunication of Sfax, Sfax rte mahdia, sfax, sfax, 3012, TUNISIA.
Deep learning has emerged as a powerful tool in medical imaging, particularly for corneal topographic map classification. However, the scarcity of labeled data poses a significant challenge to achieving robust performance. This study investigates the impact of various data augmentation strategies on enhancing the performance of a customized convolutional neural network model for corneal topographic map classification.
View Article and Find Full Text PDFMachine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis.
J Med Internet Res
January 2025
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
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