AIMC Topic: ROC Curve

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DeepFundus: A flow-cytometry-like image quality classifier for boosting the whole life cycle of medical artificial intelligence.

Cell reports. Medicine Jan 19, 2023
Medical artificial intelligence (AI) has been moving from the research phase to clinical implementation. However, most AI-based models are mainly built using high-quality images preprocessed in the laboratory, which is not representative of real-worl...
Area Under Curve Flow Cytometry Artificial Intelligence ROC Curve
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Nailfold capillaroscopy and deep learning in diabetes.

Journal of diabetes Jan 15, 2023
OBJECTIVE: To determine whether nailfold capillary images, acquired using video capillaroscopy, can provide diagnostic information about diabetes and its complications.
Capillaries ROC Curve Diabetes Mellitus, Type 2 Adult Nails Humans Deep Learning Microscopic Angioscopy
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Deep-Learning and Device-Assisted Enteroscopy: Automatic Panendoscopic Detection of Ulcers and Erosions.

Medicina (Kaunas, Lithuania) Jan 15, 2023
: Device-assisted enteroscopy (DAE) has a significant role in approaching enteric lesions. Endoscopic observation of ulcers or erosions is frequent and can be associated with many nosological entities, namely Crohn's disease. Although the application...
Endoscopy, Gastrointestinal Ulcer Deep Learning ROC Curve Humans Artificial Intelligence Retrospective Studies
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A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease.

Clinical rheumatology Jan 11, 2023
INTRODUCTION: In Kawasaki disease (KD), accurate prediction of intravenous immunoglobulin (IVIG) resistance is crucial to reduce a risk for developing coronary artery lesions.
Machine Learning Retrospective Studies Humans Immunoglobulins, Intravenous Drug Resistance ROC Curve Mucocutaneous Lymph Node Syndrome
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A deep learning model for prognosis prediction after intracranial hemorrhage.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Dec 31, 2022
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) is a common life-threatening condition that must be rapidly diagnosed and treated. However, there is still a lack of consensus regarding treatment, driven to some extent by prognostic uncertainty....
Intracranial Hemorrhages Deep Learning Cerebral Hemorrhage Humans ROC Curve Prognosis
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Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.

Clinical imaging Dec 28, 2022
OBJECTIVE: In this study, we investigate the feasibility of a deep Convolutional Neural Network (dCNN), trained with mammographic images, to detect and classify microcalcifications (MC) in breast-CT (BCT) images.
Mammography Humans Neural Networks, Computer Breast Diseases Retrospective Studies ROC Curve Tomography, X-Ray Computed
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The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data.

Sensors (Basel, Switzerland) Dec 24, 2022
Fire is usually detected with fire detection systems that are used to sense one or more products resulting from the fire such as smoke, heat, infrared, ultraviolet light radiation, or gas. Smoke detectors are mostly used in residential areas while fi...
Algorithms Artificial Intelligence ROC Curve
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Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study.

Journal of medical Internet research Dec 23, 2022
BACKGROUND: The global burden of influenza is substantial. It is a major disease that causes annual epidemics and occasionally, pandemics. Given that influenza primarily infects the upper respiratory system, it may be possible to diagnose influenza i...
Influenza, Human Deep Learning ROC Curve Sensitivity and Specificity Humans Artificial Intelligence Retrospective Studies
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Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models.

Radiology Dec 20, 2022
Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published ...
Machine Learning Retrospective Studies ROC Curve Humans
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Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy.

BMC nephrology Dec 19, 2022
BACKGROUND: Acute kidney injury (AKI) is independently associated with morbidity and mortality in a wide range of surgical settings. Nowadays, with the increasing use of electronic health records (EHR), advances in patient information retrieval, and ...
Diagnostic Tests, Routine Humans Sensitivity and Specificity ROC Curve Artificial Intelligence Acute Kidney Injury
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