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Adaptive coping mechanisms use and associated factors among adult glaucoma patients attending the University of Gondar Comprehensive Specialized Hospital, Tertiary Eye Care and Training Center, Northwest Ethiopia: an institution-based cross-sectional study.
BMJ Open
January 2025
Department of Optometry, College of Medicine and Health Sciences, Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia.
Objective: Adaptive coping mechanisms (ACMs) are effective ways to cope with stress and anxiety in patients with chronic illnesses, such as glaucoma. This study aimed to assess the proportion of ACM and associated factors among adult glaucoma patients enrolled at the tertiary eye care and training centre in Northwest Ethiopia.
Design: An institution-based cross-sectional study.
Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset.
JMIR Med Inform
January 2025
Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan.
Background: Advances in genetics have underscored a strong association between genetic factors and health outcomes, leading to an increased demand for genetic counseling services. However, a shortage of qualified genetic counselors poses a significant challenge. Large language models (LLMs) have emerged as a potential solution for augmenting support in genetic counseling tasks.
View Article and Find Full Text PDFPrevalence of cataract and its associated factors among adult diabetic patients attending at diabetic care clinics in Northwest Ethiopia, 2023.
BMC Public Health
January 2025
Department of Optometry, College of Medicine and Health Sciences, Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia.
Baground: Cataract is a major public health concern and the leading cause of blindness and low vision in Ethiopia. However, no studies have been conducted to assess the prevalence of cataract and associated factors among adult diabetic patients in the study area. Therefore, this study aimed to assess the prevalence of cataract and associated factors among adult diabetic patients in Northwest Ethiopia.
View Article and Find Full Text PDFA Convolutional Neural Network Using Anterior Segment Photos for Infectious Keratitis Identification.
Clin Ophthalmol
January 2025
Center of Excellence for Cornea and Stem Cell Transplantation, Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Purpose: To develop a comprehensively deep learning algorithm to differentiate between bacterial keratitis, fungal keratitis, non-infectious corneal lesions, and normal corneas.
Methods: This retrospective study collected slit-lamp photos of patients with bacterial keratitis, fungal keratitis, non-infectious corneal lesions, and normal cornea. Causative organisms of infectious keratitis were identified by either positive culture or clinical response to single treatment.
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