AIMC Topic: ROC Curve

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DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES.

Retina (Philadelphia, Pa.) May 1, 2021
PURPOSE: To develop a deep learning (DL) model to detect morphologic patterns of diabetic macular edema (DME) based on optical coherence tomography (OCT) images.
Humans ROC Curve Follow-Up Studies Visual Acuity Tomography, Optical Coherence Macular Edema Diabetic Retinopathy Artificial Intelligence Retrospective Studies Deep Learning
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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.

Medicine Apr 23, 2021
Along with recent developments in deep learning techniques, computer-aided diagnosis (CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the deep learning-based CAD algorithm (DCAD) for detecting and localizing 3 ma...
Humans Female Reproducibility of Results Area Under Curve Radiographic Image Interpretation, Computer-Assisted Lung Diseases Observer Variation Deep Learning ROC Curve Radiography, Thoracic Lung Neoplasms Pneumothorax Thoracic Neoplasms Aged Male Middle Aged Case-Control Studies
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Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.

The Lancet. Digital health Apr 1, 2021
BACKGROUND: Strategies for integrating artificial intelligence (AI) into thyroid nodule management require additional development and testing. We developed a deep-learning AI model (ThyNet) to differentiate between malignant tumours and benign thyroi...
ROC Curve Predictive Value of Tests Area Under Curve Decision Making, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning China Thyroid Nodule Humans Artificial Intelligence Sensitivity and Specificity
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Smoking Middle Aged Risk Assessment Risk Factors Alcohol Drinking Adolescent Young Adult ROC Curve Kidney Function Tests Clinical Decision Rules Humans Adult Diabetes Mellitus, Type 2 Age Factors Predictive Value of Tests Neural Networks, Computer Male Hypertension Acute Kidney Injury Ischemic Stroke Lipoproteins Female Factor Analysis, Statistical Area Under Curve
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Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
Humans Middle Aged Risk Assessment ROC Curve Risk Factors Aged Machine Learning Logistic Models Pressure Ulcer Hospitalization Aged, 80 and over Databases, Factual Nursing Research Male Electronic Health Records Female
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Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Central line-associated bloodstream infections (CLABSIs) are a common, costly, and hazardous healthcare-associated infection in children. In children in whom continued access is critical, salvage of infected central venous catheters (CVCs)...
ROC Curve Treatment Outcome Area Under Curve Central Venous Catheters Cross Infection Recurrence Sepsis Adolescent Child, Preschool Child Prognosis Female Male Infant Humans Machine Learning Anti-Infective Agents
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Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

Pediatrics Mar 1, 2021
OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial intelligence (AI)-based screening in an Indian ROP telemedicine pr...
Retinopathy of Prematurity Hospital Units Oxygen Humans Telemedicine Linear Models Sensitivity and Specificity Gestational Age Male Severity of Illness Index ROC Curve India Artificial Intelligence Retrospective Studies Female Infant, Newborn
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Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.

Korean journal of radiology Mar 1, 2021
Artificial intelligence (AI) will likely affect various fields of medicine. This article aims to explain the fundamental principles of clinical validation, device approval, and insurance coverage decisions of AI algorithms for medical diagnosis and p...
Delivery of Health Care Case-Control Studies ROC Curve Lung Neoplasms Device Approval Insurance Coverage Decision Making Area Under Curve Humans Artificial Intelligence
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Development of a "meta-model" to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: Like most real-world data, electronic health record (EHR)-derived data from oncology patients typically exhibits wide interpatient variability in terms of available data elements. This interpatient variability leads to missing data and can...
Area Under Curve Survival Analysis Neoplasms ROC Curve Decision Support Systems, Clinical Models, Theoretical Humans Machine Learning Prognosis
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FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: The study sought to test the possibility of differentiating chest x-ray images of coronavirus disease 2019 (COVID-19) against other pneumonia and healthy patients using deep neural networks.
Humans Neural Networks, Computer COVID-19 Radiography, Thoracic Pneumonia, Viral Algorithms Lung ROC Curve Diagnosis, Differential
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