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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 PDFHybrid 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 PDFEra of Generalist Conversational Artificial Intelligence to Support Public Health Communications.
J Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFEnhancing panoramic dental imaging with AI-driven arch surface fitting: Achieving improved clarity and accuracy through an optimal reconstruction zone.
Dentomaxillofac Radiol
January 2025
Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Yangsan, 50612, Korea.
Objectives: This study aimed to develop an automated method for generating clearer, well-aligned panoramic views by creating an optimized three-dimensional (3D) reconstruction zone centered on the teeth. The approach focused on achieving high contrast and clarity in key dental features, including tooth roots, morphology, and periapical lesions, by applying a 3D U-Net deep learning model to generate an arch surface and align the panoramic view.
Methods: This retrospective study analyzed anonymized cone-beam CT (CBCT) scans from 312 patients (mean age 40 years; range 10-78; 41.
Peste des petits ruminants: past, present, and future scope.
J Infect Dev Ctries
December 2024
Department of Veterinary Medicine, Faculty of Agriculture and Veterinary Medicine, An-Najah National University, Nablus, Palestine.
Introduction: Peste des petits ruminants (PPR) is a highly contagious and fatal disease affecting small ruminants, particularly goats and sheep, and is caused by Morbillivirus caprinae, a virus in the genus Morbillivirus, family Paramyxoviridae. PPR has significant economic and social impacts, especially in Africa, Asia, and the Middle East, where small ruminants are vital to rural livelihoods and food security. This disease is a priority for global eradication due to its disproportionate impact on low-income farmers and wildlife conservation.
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