AIMC Topic: Sensitivity and Specificity

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DETECTION AND LOCALIZATION OF RETINAL BREAKS IN ULTRAWIDEFIELD FUNDUS PHOTOGRAPHY USING a YOLO v3 ARCHITECTURE-BASED DEEP LEARNING MODEL.

Retina (Philadelphia, Pa.) Oct 1, 2022
PURPOSE: We aimed to develop a deep learning model for detecting and localizing retinal breaks in ultrawidefield fundus (UWF) images.
Humans Retrospective Studies Eye Diseases Photography Retinal Perforations Sensitivity and Specificity Deep Learning Fundus Oculi
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A Multicenter Clinical Study of the Automated Fundus Screening Algorithm.

Translational vision science & technology Jul 8, 2022
PURPOSE: To evaluate the effectiveness of automated fundus screening software in detecting eye diseases by comparing the reported results against those given by human experts.
Eye Diseases Algorithms Humans Sensitivity and Specificity Artificial Intelligence Fundus Oculi
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Extravasation Screening and Severity Prediction from Skin Lesion Image using Deep Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Extravasation occurs secondary to the leakage of medication from blood vessels into the surrounding tissue during intravenous administration resulting in significant soft tissue injury and necrosis. If treatment is delayed, invasive management such a...
Research Sensitivity and Specificity Skin Skin Diseases Humans Neural Networks, Computer
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Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Apr 28, 2022
BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facilitate chest X-ray (CXR) use in tuberculosis diagnosis. There is little to no evidence on the accuracy of commercially available deep learning-based CAD...
Deep Learning HIV Infections Triage Humans Software Sensitivity and Specificity Tuberculosis X-Rays Tuberculosis, Pulmonary
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Development and validation of an offline deep learning algorithm to detect vitreoretinal abnormalities on ocular ultrasound.

Indian journal of ophthalmology Apr 1, 2022
PURPOSE: We describe our offline deep learning algorithm (DLA) and validation of its diagnostic ability to identify vitreoretinal abnormalities (VRA) on ocular ultrasound (OUS).
Deep Learning ROC Curve Eye Diseases Humans Algorithms Sensitivity and Specificity
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Evaluation of a Natural Language Processing Approach to Identify Social Determinants of Health in Electronic Health Records in a Diverse Community Cohort.

Medical care Mar 1, 2022
BACKGROUND: Health care systems in the United States are increasingly interested in measuring and addressing social determinants of health (SDoH). Advances in electronic health record systems and Natural Language Processing (NLP) create a unique oppo...
United States Natural Language Processing Electronic Health Records Social Determinants of Health Female Male Surveys and Questionnaires Young Adult Machine Learning Middle Aged Adolescent Adult Humans Cohort Studies Sensitivity and Specificity Algorithms Delivery of Health Care Aged Housing Maryland District of Columbia
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Artificial intelligence model validation before its application in clinical diagnosis assistance.

World journal of gastroenterology Feb 7, 2022
The process of selecting an artificial intelligence (AI) model to assist clinical diagnosis of a particular pathology and its validation tests is relevant since the values of accuracy, sensitivity and specificity may not reflect the behavior of the m...
Humans Artificial Intelligence Sensitivity and Specificity
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Gray-Level Co-occurrence Matrix Analysis for the Detection of Discrete, Ethanol-Induced, Structural Changes in Cell Nuclei: An Artificial Intelligence Approach.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Feb 1, 2022
Gray-level co-occurrence matrix (GLCM) analysis is a contemporary and innovative computational method for the assessment of textural patterns, applicable in almost any area of microscopy. The aim of our research was to perform the GLCM analysis of ce...
Artificial Intelligence Machine Learning Sensitivity and Specificity Ethanol Cell Nucleus
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Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection.

Journal of integrative neuroscience Jan 28, 2022
Stress has become a dangerous health problem in our life, especially in student education journey. Accordingly, previous methods have been conducted to detect mental stress based on biological and biochemical effects. Moreover, hormones, physiologica...
Fourier Analysis Frontal Lobe Sensitivity and Specificity Male Stress, Psychological Female Humans Support Vector Machine Young Adult Machine Learning Electroencephalography Adult Signal Processing, Computer-Assisted
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An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study.

Medicine Jan 28, 2022
BACKGROUND: Breast cancer (BC) is the most common malignant cancer in women. A predictive model is required to predict the 5-year survival in patients with BC (5YSPBC) and improve the treatment quality by increasing their survival rate. However, no r...
ROC Curve Neural Networks, Computer Mobile Applications Artificial Intelligence Bayes Theorem Breast Neoplasms Prognosis Middle Aged Humans Adult Female Survival Rate Aged Sensitivity and Specificity Aged, 80 and over
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