AIMC Topic: ROC Curve

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Artificial intelligence applications in different imaging modalities for corneal topography.

Survey of ophthalmology Aug 25, 2021
Interpretation of topographical maps used to detect corneal ectasias requires a high level of expertise. Several artificial intelligence (AI) technologies have attempted to interpret topographic maps. The purpose of this study is to provide a review ...
Humans Artificial Intelligence Cornea Corneal Topography ROC Curve Keratoconus
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X-Ray Equipped with Artificial Intelligence: Changing the COVID-19 Diagnostic Paradigm during the Pandemic.

BioMed research international Aug 22, 2021
PURPOSE: Due to the excessive use of raw materials in diagnostic tools and equipment during the COVID-19 pandemic, there is a dire need for cheaper and more effective methods in the healthcare system. With the development of artificial intelligence (...
ROC Curve Algorithms Humans COVID-19 Testing Tomography, X-Ray Computed Artificial Intelligence SARS-CoV-2 COVID-19
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Classification for avian malaria parasite Plasmodium gallinaceum blood stages by using deep convolutional neural networks.

Scientific reports Aug 19, 2021
The infection of an avian malaria parasite (Plasmodium gallinaceum) in domestic chickens presents a major threat to the poultry industry because it causes economic loss in both the quality and quantity of meat and egg production. Computer-aided diagn...
Area Under Curve Life Cycle Stages Neural Networks, Computer Models, Biological Plasmodium gallinaceum Animals Parasites ROC Curve Malaria, Avian
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Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning.

Scientific reports Aug 19, 2021
We examined the feasibility of explainable computer-aided detection of cardiomegaly in routine clinical practice using segmentation-based methods. Overall, 793 retrospectively acquired posterior-anterior (PA) chest X-ray images (CXRs) of 793 patients...
Feasibility Studies Cardiomegaly Thorax ROC Curve Image Processing, Computer-Assisted Humans Area Under Curve Adult Male Middle Aged Aged Adolescent Aged, 80 and over Child Diagnosis, Computer-Assisted Neural Networks, Computer Young Adult Deep Learning Female Reproducibility of Results
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A deep learning approach to automatic gingivitis screening based on classification and localization in RGB photos.

Scientific reports Aug 19, 2021
Routine dental visit is the most common approach to detect the gingivitis. However, such diagnosis can sometimes be unavailable due to the limited medical resources in certain areas and costly for low-income populations. This study proposes to screen...
Deep Learning ROC Curve Image Processing, Computer-Assisted Mass Screening Humans Algorithms Reproducibility of Results Gingivitis Photography Area Under Curve Color Automation
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A machine learning approach to predict extreme inactivity in COPD patients using non-activity-related clinical data.

PloS one Aug 19, 2021
Facilitating the identification of extreme inactivity (EI) has the potential to improve morbidity and mortality in COPD patients. Apart from patients with obvious EI, the identification of a such behavior during a real-life consultation is unreliable...
Decision Making Humans Life Style Female Sedentary Behavior Aged Pulmonary Disease, Chronic Obstructive Machine Learning Male Algorithms ROC Curve
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Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future.

Journal of environmental management Aug 17, 2021
The predicts current and future flood risk in the Kalvan watershed of northwestern Markazi Province, Iran. To do this, 512 flood and non-flood locations were identified and mapped. Twenty flood-risk factors were selected to model flood risk using sev...
Machine Learning Floods Forecasting ROC Curve Climate
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Deep forest model for diagnosing COVID-19 from routine blood tests.

Scientific reports Aug 17, 2021
The Coronavirus Disease 2019 (COVID-19) global pandemic has threatened the lives of people worldwide and posed considerable challenges. Early and accurate screening of infected people is vital for combating the disease. To help with the limited quant...
COVID-19 Deep Learning ROC Curve Humans Datasets as Topic Hematologic Tests Mass Screening COVID-19 Testing
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CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.

PLoS pathogens Aug 17, 2021
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries....
Biomarkers Female Animals Transcriptome Humans Machine Learning Cytokines Tuberculosis, Pulmonary Mycobacterium tuberculosis Animals, Outbred Strains Chemokine CXCL1 ROC Curve Mice Mice, Inbred C57BL
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Automated detection of superficial fungal infections from microscopic images through a regional convolutional neural network.

PloS one Aug 17, 2021
Direct microscopic examination with potassium hydroxide is generally used as a screening method for diagnosing superficial fungal infections. Although this type of examination is faster than other diagnostic methods, it can still be time-consuming to...
Potassium Compounds Arthrodermataceae Skin Dermatomycoses Microscopy Nails Image Interpretation, Computer-Assisted Hydroxides Datasets as Topic Hyphae Humans Deep Learning ROC Curve
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