AIMC Topic:
Cross-Sectional Studies

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Automated detection of diabetic retinopathy using machine learning classifiers.

European review for medical and pharmacological sciences Jan 1, 2021
OBJECTIVE: Diabetic Retinopathy (DR) is a highly threatening microvascular complication of diabetes mellitus. Diabetic patients must be screened annually for DR; however, it is practically not viable due to the high volume of patients, lack of resour...
Cross-Sectional Studies Male Saudi Arabia Automation Humans Diabetic Retinopathy Machine Learning Female
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Feasibility of using deep learning to detect coronary artery disease based on facial photo.

European heart journal Dec 7, 2020
AIMS: Facial features were associated with increased risk of coronary artery disease (CAD). We developed and validated a deep learning algorithm for detecting CAD based on facial photos.
Coronary Angiography Coronary Artery Disease Feasibility Studies Coronary Stenosis Cross-Sectional Studies Deep Learning Predictive Value of Tests Humans
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Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.

JAMA Nov 17, 2020
IMPORTANCE: Less than 10% of patients with cancer have detectable pathogenic germline alterations, which may be partially due to incomplete pathogenic variant detection.
Humans Neural Networks, Computer Female Male Predictive Value of Tests Middle Aged High-Throughput Nucleotide Sequencing Prostatic Neoplasms Deep Learning Genetic Testing DNA Mutational Analysis Genetic Predisposition to Disease Melanoma Germ-Line Mutation Sensitivity and Specificity Cross-Sectional Studies
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[Obesity and inflammation in students of a Colombian public university].

Revista de salud publica (Bogota, Colombia) Nov 1, 2020
OBJECTIVE: To describe the relationship between obesity and proinflammatory variables in the student population of the University of Quindío.
Colombia Inflammation Humans Universities Waist Circumference Body Mass Index Interleukin-6 Obesity Cross-Sectional Studies
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Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (AI) for automated retinal disease diagnostics but have not addressed a fundamental challenge for deep learning systems: the current need for large, cr...
ROC Curve Rare Diseases Cross-Sectional Studies Male Deep Learning Humans Artificial Intelligence Diabetic Retinopathy Algorithms Neural Networks, Computer Retrospective Studies Female
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Model-to-Data Approach for Deep Learning in Optical Coherence Tomography Intraretinal Fluid Segmentation.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Amid an explosion of interest in deep learning in medicine, including within ophthalmology, concerns regarding data privacy, security, and sharing are of increasing importance. A model-to-data approach, in which the model itself is transf...
Tomography, Optical Coherence Wet Macular Degeneration Subretinal Fluid Algorithms Female Reproducibility of Results Aged Cross-Sectional Studies Male Humans Deep Learning Neural Networks, Computer
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Binary Classification of Alzheimer's Disease Using sMRI Imaging Modality and Deep Learning.

Journal of digital imaging Oct 1, 2020
Alzheimer's disease (AD) is an irreversible devastative neurodegenerative disorder associated with progressive impairment of memory and cognitive functions. Its early diagnosis is crucial for the development of possible future treatment option(s). St...
Humans Female Cross-Sectional Studies Male Neuroimaging Deep Learning Magnetic Resonance Imaging Alzheimer Disease
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Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

Pakistan journal of pharmaceutical sciences Sep 1, 2020
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 ...
Predictive Value of Tests Pakistan Restless Legs Syndrome Aged, 80 and over Prevalence Humans Male Young Adult Adolescent Middle Aged Neural Networks, Computer Adult Incidence Female Risk Assessment Artificial Intelligence Cross-Sectional Studies Risk Factors Diabetes Mellitus, Type 2 Algorithms Aged Decision Support Techniques
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Volumetric Choroidal Segmentation Using Sequential Deep Learning Approach in High Myopia Subjects.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Many ocular diseases are associated with choroidal changes. Therefore, it is crucial to be able to segment the choroid to study its properties. Previous methods for choroidal segmentation have focused on single cross-sectional scans. Volumetric choro...
Choroid Tomography, Optical Coherence Humans Cross-Sectional Studies Myopia Deep Learning
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.

Annals of family medicine Jul 1, 2020
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
Humans Machine Learning Algorithms Cross-Sectional Studies ROC Curve Medicare Primary Health Care Workforce United States Physicians, Primary Care Area Under Curve Insurance Claim Review
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