AIMC Topic: Sensitivity and Specificity
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Electroencephalogram Spectral Moments for the Detection of Nocturnal Hypoglycemia.
IEEE journal of biomedical and health informatics
Jul 29, 2019
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's physiology could increase the risk of hypoglycemia. Nocturnal hypogl...
[Machine learning for predictive analyses in health: an example of an application to predict death in the elderly in São Paulo, Brazil].
Cadernos de saude publica
Jul 29, 2019
This study aims to present the stages related to the use of machine learning algorithms for predictive analyses in health. An application was performed in a database of elderly residents in the city of São Paulo, Brazil, who participated in the Healt...
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.
Clinical & experimental ophthalmology
Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Humans
Wet Macular Degeneration
Deep Learning
Algorithms
Photography
Sensitivity and Specificity
ROC Curve
Retrospective Studies
Ophthalmologists
Male
Area Under Curve
Visual Acuity
Female
Choroidal Neovascularization
Middle Aged
Fundus Oculi
Predictive Value of Tests
Reproducibility of Results
False Positive Reactions
Diagnosis, Computer-Assisted
Fluorescein Angiography
Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.
AJNR. American journal of neuroradiology
Jul 25, 2019
BACKGROUND AND PURPOSE: Most brain lesions are characterized by hyperintense signal on FLAIR. We sought to develop an automated deep learning-based method for segmentation of abnormalities on FLAIR and volumetric quantification on clinical brain MRIs...
Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures.
The Journal of arthroplasty
Jul 24, 2019
BACKGROUND: Manual chart review is labor-intensive and requires specialized knowledge possessed by highly trained medical professionals. The cost and infrastructure challenges required to implement this is prohibitive for most hospitals. Natural lang...
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Journal of medical systems
Jul 24, 2019
In medical image processing, Brain tumor segmentation plays an important role. Early detection of these tumors is highly required to give Treatment of patients. The patient's life chances are improved by the early detection of it. The process of diag...
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading.
Scientific reports
Jul 24, 2019
Diabetes is a globally prevalent disease that can cause visible microvascular complications such as diabetic retinopathy and macular edema in the human eye retina, the images of which are today used for manual disease screening and diagnosis. This la...
Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study.
BMJ open
Jul 23, 2019
OBJECTIVES: Development of digital biomarkers to predict treatment response to a digital behavioural intervention.
Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction.
Journal of medical systems
Jul 20, 2019
Cancer is one of the leading causes of deaths in the last two decades. It is either diagnosed malignant or benign - depending upon the severity of the infection and the current stage. The conventional methods require a detailed physical inspection by...
Validation of radiologists' findings by computer-aided detection (CAD) software in breast cancer detection with automated 3D breast ultrasound: a concept study in implementation of artificial intelligence software.
Acta radiologica (Stockholm, Sweden : 1987)
Jul 19, 2019
BACKGROUND: Computer-aided detection software for automated breast ultrasound has been shown to have potential in improving the accuracy of radiologists. Alternative ways of implementing computer-aided detection, such as independent validation or pre...
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