AIMC Topic:
Cross-Sectional Studies
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Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health-Evidence From a Mixed-Age, Primary-Care Population.
Translational vision science & technology
Apr 2, 2024
PURPOSE: To investigate whether fractal dimension (FD), a retinal trait relating to vascular complexity and a potential "oculomics" biomarker for systemic disease, is applicable to a mixed-age, primary-care population.
Quantitative Assessment of Fundus Tessellated Density in Highly Myopic Glaucoma Using Deep Learning.
Translational vision science & technology
Apr 2, 2024
PURPOSE: To characterize the fundus tessellated density (FTD) in highly myopic glaucoma (HMG) and high myopia (HM) for discovering early signs and diagnostic markers.
Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection.
The Journal of international medical research
Apr 1, 2024
OBJECTIVE: To develop and evaluate a novel feature selection technique, using photoplethysmography (PPG) sensors, for enhancing the performance of deep learning models in classifying vascular access quality in hemodialysis patients.
Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.
JAMA cardiology
Apr 1, 2024
IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, and sudden death. Half of patients with LQTS have a normal or borderline-normal QT interval despite LQTS often being detected by QT prolongation on re...
Assessing radiologists' and radiographers' perceptions on artificial intelligence integration: opportunities and challenges.
The British journal of radiology
Mar 28, 2024
OBJECTIVES: The objective of this study was to evaluate radiologists' and radiographers' opinions and perspectives on artificial intelligence (AI) and its integration into the radiology department. Additionally, we investigated the most common challe...
[Preliminary study on automatic quantification and grading of leopard spots fundus based on deep learning technology].
[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Mar 11, 2024
To achieve automatic segmentation, quantification, and grading of different regions of leopard spots fundus (FT) using deep learning technology. The analysis includes exploring the correlation between novel quantitative indicators, leopard spot fund...
Performance of ChatGPT Compared to Clinical Practice Guidelines in Making Informed Decisions for Lumbosacral Radicular Pain: A Cross-sectional Study.
The Journal of orthopaedic and sports physical therapy
Mar 1, 2024
To compare the accuracy of an artificial intelligence chatbot to clinical practice guidelines (CPGs) recommendations for providing answers to complex clinical questions on lumbosacral radicular pain. Cross-sectional study. We extracted recommendat...
Ghostwriting: a reflection of academic dishonesty in the artificial intelligence era.
Journal of public health (Oxford, England)
Feb 23, 2024
Topic evolution before fall incidents in new fallers through natural language processing of general practitioners' clinical notes.
Age and ageing
Feb 1, 2024
BACKGROUND: Falls involve dynamic risk factors that change over time, but most studies on fall-risk factors are cross-sectional and do not capture this temporal aspect. The longitudinal clinical notes within electronic health records (EHR) provide an...
Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data.
Investigative ophthalmology & visual science
Feb 1, 2024
PURPOSE: Necrotizing viral retinitis is a serious eye infection that requires immediate treatment to prevent permanent vision loss. Uncertain clinical suspicion can result in delayed diagnosis, inappropriate administration of corticosteroids, or repe...
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