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PLoS One
January 2025
Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Gangshan Hospital, Kaohsiung, Taiwan.
Background/purpose: Dyslipidemia, a hallmark of metabolic syndrome (MetS), contributes to atherosclerotic and cardiometabolic disorders. Due to days-long analysis, current clinical procedures for cardiotoxic blood lipid monitoring are unmet. This study used AI-assisted attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to identify MetS and precisely quantify multiple blood lipid levels with a blood sample of 0.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Purpose: To investigate the heritability of genetic influence on macular choroidal vascularity index (CVI).
Methods: Total choroidal area (TCA), luminal area (LA), and CVI was measured using horizontal scan of spectral-domain optical coherence tomography with enhanced depth imaging in the 373 healthy twin participants. Characteristics of the participants were investigated, including age, sex, axial length, hypertension, diabetes, drinking habits, and smoking status.
Transl Vis Sci Technol
January 2025
The Ohio State University College of Optometry, Columbus, OH, USA.
Purpose: Individuals with Down syndrome (DS) have reduced visual acuity (VA), even when wearing refractive correction. The relationship between refractive error and VA in adults with DS is explored.
Methods: Thirty adults with DS (age = 29 ± 10 years) were enrolled in a trial comparing clinical and objectively determined refractions.
J Binocul Vis Ocul Motil
January 2025
Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, Maryland.
Uncorrected refractive error is a key cause of childhood visual impairment in the United States. As pediatric vision issues are often asymptomatic, vision screenings are essential to identify children's eye problems. Despite the importance of vision for children's health, well-being, and academic achievement, challenges remain in ensuring that children have equitable access to vision screenings and follow-up eye care.
View Article and Find Full Text PDFHeliyon
January 2025
Information Technology Department, Technical College of Informatics-Akre, Akre University for Applied Sciences, Kurdistan Regain, Iraq.
Deep Learning (DL) has significantly contributed to the field of medical imaging in recent years, leading to advancements in disease diagnosis and treatment. In the case of Diabetic Retinopathy (DR), DL models have shown high efficacy in tasks such as classification, segmentation, detection, and prediction. However, DL model's opacity and complexity lead to errors in decision-making, particularly in complex cases, making it necessary to estimate the model's uncertainty in predictions.
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