AIMC Topic: Diabetic Neuropathies

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Predicting Diabetic Neuropathy Risk Level Using Artificial Neural Network and Clinical Parameters of Subjects With Diabetes.

Journal of diabetes science and technology Oct 22, 2020
BACKGROUND: A risk assessment tool has been developed for automated estimation of level of neuropathy based on the clinical characteristics of patients. The smart tool is based on risk factors for diabetic neuropathy, which utilizes vibration percept...
Sensory Thresholds Diabetic Neuropathies Vibration Diabetes Mellitus, Type 2 Glycated Hemoglobin Humans Neural Networks, Computer
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Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality.

Scientific reports Oct 8, 2020
Rubeosis faciei diabeticorum, caused by microangiopathy and characterized by a chronic facial erythema, is associated with diabetic neuropathy. In clinical practice, facial erythema of patients with diabetes is evaluated based on subjective observati...
Humans Machine Learning Female Aged Sensitivity and Specificity Diabetic Neuropathies Male Erythema Middle Aged Skin Face
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NFN＋: A novel network followed network for retinal vessel segmentation.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2020
In the early diagnosis of diabetic retinopathy, the morphological attributes of blood vessels play an essential role to construct a retinal computer-aided diagnosis system. However, due to the challenges including limited densely annotated data, inte...
Image Processing, Computer-Assisted Diabetic Neuropathies Retinal Vessels Databases, Factual Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Algorithms
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Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.

Computational and mathematical methods in medicine Dec 19, 2019
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building. In other words, machine learning enables an automaton to make its own decisions based on a previous training pr...
Humans Artificial Intelligence Algorithms Female Reproducibility of Results Databases, Factual Biomarkers Deep Learning Gait ROC Curve Monitoring, Ambulatory Mexico Adult Diabetic Neuropathies Accelerometry Walking Male Middle Aged
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An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.

Diabetologia Nov 12, 2019
AIMS/HYPOTHESIS: Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging technique that identifies peripheral and central neurodegenerative disease. Quantification of corneal sub-basal nerve plexus morphology, however, requires either ...
Diabetic Neuropathies Algorithms Cornea Deep Learning Neurodegenerative Diseases Nerve Fibers Microscopy, Confocal Diabetes Mellitus, Type 1 Humans Artificial Intelligence
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Artificial neural networks in the selection of shoe lasts for people with mild diabetes.

Medical engineering & physics Jan 14, 2019
This research addressed the selection of shoe lasts for footwear design to help relieve the pain associated with diabetic neuropathy and foot ulcers. A reverse engineering (RE) technique was used to convert point clouds corresponding to scanned shoe ...
Shoes Diabetic Foot Pain Diabetic Neuropathies Neural Networks, Computer Humans Equipment Design
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Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study.

Epidemiology and health Mar 24, 2016
OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropathy, one of the most common complications of diabetes mellitus, is a serious condition that can lead to amputation. This study used a multicategory su...
Support Vector Machine Models, Statistical Diabetic Neuropathies Prevalence Surveys and Questionnaires Aged Logistic Models Adult Cross-Sectional Studies Middle Aged Humans Algorithms
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Giant bladder (10,500 mL in volume) in the ED.

The American journal of emergency medicine Dec 21, 2015
Male Diabetic Neuropathies Emergency Service, Hospital Humans Urinary Retention Tomography, X-Ray Computed Urinary Bladder, Neurogenic Aged
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Postural visual dependence in asymptomatic type 2 diabetic patients without peripheral neuropathy during a postural challenging task.

Journal of diabetes and its complications Dec 18, 2015
UNLABELLED: Increasing evidence indicates that diabetes may negatively affect vestibular function, and postural control more so under postural challenging conditions. Healthy and diabetic subjects were compared on visual control of posture during a p...
Vision, Ocular Asymptomatic Diseases Diabetic Neuropathies Diabetes Mellitus, Type 2 Posture Postural Balance Humans Male Space Perception Female Case-Control Studies Adult
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Female Reproducibility of Results Cornea Male Humans Algorithms Nerve Fibers Diabetic Neuropathies Corneal Diseases Ophthalmic Nerve Middle Aged Deep Learning Microscopy, Confocal
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