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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder.
Sci Rep
January 2025
Department of Robotics, Hanyang University, Ansan, 15588, Republic of Korea.
Diabetic retinopathy (DR) presents a significant concern among diabetic patients, often leading to vision impairment or blindness if left untreated. Traditional diagnosis methods are prone to human error, necessitating accurate alternatives. While various computer-aided systems have been developed to assist in DR detection, there remains a need for accurate and efficient methods to classify its stages.
View Article and Find Full Text PDFInclusive education pandemic: Learning barriers for children with disabilities in South Africa.
Afr J Disabil
December 2024
Department of Sociology, Faculty of Humanities, University of Pretoria, Pretoria, South Africa.
Background: Children with disabilities encounter obstacles attaining basic education. Significantly, previous studies on South Africa have shown that up to 70% of the children with disabilities are out of school. Despite efforts to support inclusive education through White Paper 6 policy, the deployment of resources and transformation of the education sector has been a slower process.
View Article and Find Full Text PDFReducing reading time and assessing disease in capsule endoscopy videos: A deep learning approach.
Int J Med Inform
January 2025
University of Coimbra, Faculty of Medicine, Coimbra, Portugal; Department of Gastroenterology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal. Electronic address:
Background: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of the few drawbacks identified by the gastroenterology community is the time-consuming task of analyzing CE videos.
Objectives: This article investigates the feasibility of a computer-aided diagnostic method to speed up CE video analysis.
A comprehensive RCT in screening, surveillance, and diagnostic AI-assisted colonoscopies (ACCENDO-Colo study).
Dig Liver Dis
January 2025
Digestive Endoscopy Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, 00168, Roma, Italy.
Background And Aims: Adenoma detection rate (ADR) serves as a primary quality metric in colonoscopy. Various computer-aided detection (CADe) tools have emerged, yielding diverse impacts on ADR across different demographic cohorts. This study aims to evaluate a new CADe system in patients undergoing colonoscopy.
View Article and Find Full Text PDFOutcomes of surveyed monolithic CAD/CAM zirconia crowns for removable partial denture abutments: A 7-year clinical study.
J Prosthodont Res
January 2025
Department of Restorative Dentistry, College of Dental Medicine, University of Sharjah, Sharjah, UAE.
Purpose: This retrospective clinical study aimed to evaluate the clinical outcomes of surveyed monolithic computer-aided design and computer-aided manufacturing (CAD/CAM) zirconia crowns for abutment teeth in removable partial dentures (RPDs).
Methods: Patients who received monolithic surveyed zirconia crowns were clinically examined. The crowns were examined according to the modified United States Public Health Service criteria, and Kaplan-Meier survival was determined.
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