AIMC Topic: Cross-Sectional Studies

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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.
Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Genetic Testing Humans Neural Networks, Computer High-Throughput Nucleotide Sequencing Female DNA Mutational Analysis Melanoma Germ-Line Mutation Deep Learning Genetic Predisposition to Disease Predictive Value of Tests Prostatic Neoplasms
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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 Waist Circumference Humans Universities Interleukin-6 Body Mass Index Cross-Sectional Studies Obesity
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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...
Retrospective Studies Female Cross-Sectional Studies Male Neural Networks, Computer Artificial Intelligence Algorithms Deep Learning ROC Curve Rare Diseases Humans Diabetic Retinopathy
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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...
Neural Networks, Computer Algorithms Female Reproducibility of Results Humans Deep Learning Tomography, Optical Coherence Wet Macular Degeneration Subretinal Fluid Aged Cross-Sectional Studies Male
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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 Deep Learning Magnetic Resonance Imaging Alzheimer Disease Neuroimaging
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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 ...
Restless Legs Syndrome Young Adult Adult Incidence Humans Cross-Sectional Studies Middle Aged Diabetes Mellitus, Type 2 Neural Networks, Computer Male Predictive Value of Tests Risk Factors Risk Assessment Artificial Intelligence Pakistan Aged Prevalence Algorithms Aged, 80 and over Adolescent Decision Support Techniques Female
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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...
Tomography, Optical Coherence Humans Cross-Sectional Studies Myopia Deep Learning Choroid
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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.
United States Area Under Curve Medicare Workforce Physicians, Primary Care Insurance Claim Review Algorithms Cross-Sectional Studies ROC Curve Primary Health Care Humans Machine Learning
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Porthole and Stormcloud: Tools for Visualisation of Spatiotemporal M/EEG Statistics.

Neuroinformatics Jun 1, 2020
Electro- and magneto-encephalography are functional neuroimaging modalities characterised by their ability to quantify dynamic spatiotemporal activity within the brain. However, the visualisation techniques used to illustrate these effects are curren...
Electroencephalography Machine Learning Signal Processing, Computer-Assisted Humans Brain Magnetoencephalography Cross-Sectional Studies Brain Mapping
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Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning.

JAMA ophthalmology May 1, 2020
IMPORTANCE: Evaluating corneal morphologic characteristics with corneal tomographic scans before refractive surgery is necessary to exclude patients with at-risk corneas and keratoconus. In previous studies, researchers performed screening with machi...
Adult Cross-Sectional Studies Male Deep Learning China ROC Curve Models, Theoretical Keratoconus Machine Learning Algorithms Female Young Adult Humans Artificial Intelligence Corneal Topography Refractive Surgical Procedures Tomography
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