AIMC Topic: ROC Curve

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Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (AI) for automated retinal disease diagnostics but have not addressed a fundamental challenge for deep learning systems: the current need for large, cr...
Cross-Sectional Studies Male Deep Learning ROC Curve Rare Diseases Artificial Intelligence Algorithms Retrospective Studies Female Humans Diabetic Retinopathy Neural Networks, Computer
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A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit.

The journal of trauma and acute care surgery Oct 1, 2020
BACKGROUND: Trauma patients admitted to critical care are at high risk of mortality because of their injuries. Our aim was to develop a machine learning-based model to predict mortality using Fahad-Liaqat-Ahmad Intensive Machine (FLAIM) framework. We...
ROC Curve Sodium Critical Care Proportional Hazards Models Multivariate Analysis Adult Male Middle Aged Sepsis Injury Severity Score Organ Dysfunction Scores Wounds and Injuries Humans Neural Networks, Computer Machine Learning Prognosis Retrospective Studies Critical Illness Intensive Care Units Female Hospitalization Young Adult
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Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit.

The American journal of gastroenterology Oct 1, 2020
INTRODUCTION: Acute gastrointestinal (GI) bleed is a common reason for hospitalization with 2%-10% risk of mortality. In this study, we developed a machine learning (ML) model to calculate the risk of mortality in intensive care unit patients admitte...
Intensive Care Units Female Aged Aged, 80 and over Male Humans Machine Learning APACHE Middle Aged Gastrointestinal Hemorrhage Risk Assessment ROC Curve Area Under Curve
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Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Oct 1, 2020
OBJECTIVES: To evaluate the feasibility of using deep-learning algorithms to classify as normal or abnormal sonographic images of the fetal brain obtained in standard axial planes.
Female Sensitivity and Specificity Ultrasonography, Prenatal Humans Deep Learning Image Processing, Computer-Assisted ROC Curve Brain Diagnosis, Differential Pregnancy Feasibility Studies Fetus Nervous System Malformations
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Development and validation of a machine-learning model for prediction of shoulder dystocia.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Oct 1, 2020
OBJECTIVES: To develop a machine-learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model's predictive accuracy and potential clinical efficacy in optimizing the use of Cesarean delivery in the context of sus...
Cesarean Section Reproducibility of Results Risk Factors Adult Ultrasonography, Prenatal Humans Machine Learning Pregnancy Female Gestational Age Biometry Fetal Weight Fetal Macrosomia Shoulder Dystocia ROC Curve Predictive Value of Tests Patient Selection Israel Diabetes, Gestational
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Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Administration and policy in mental health Sep 1, 2020
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants were 6630 youth with a parent-reported diagnosis of ADHD from the 2016-2017 National Survey of Children...
Female Risk Factors Male Comorbidity Attention Deficit Disorder with Hyperactivity Severity of Illness Index Humans Patient Acceptance of Health Care Machine Learning Adolescent Child, Preschool Child ROC Curve Socioeconomic Factors
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Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling.

Neurosurgery Sep 1, 2020
BACKGROUND: Despite advances in the treatment of poor-grade aneurysmal subarachnoid hemorrhage (aSAH), predicting the long-term outcome of aSAH remains challenging, although essential.
Male Prognosis Decision Trees Humans Middle Aged Clinical Decision-Making Subarachnoid Hemorrhage Machine Learning ROC Curve Female Logistic Models Aged Treatment Outcome Adult
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Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features.

Journal of the American College of Cardiology Aug 25, 2020
BACKGROUND: Left ventricular (LV) diastolic dysfunction is recognized as playing a major role in the pathophysiology of heart failure; however, clinical tools for identifying diastolic dysfunction before echocardiography remain imprecise.
Male Stroke Volume Echocardiography Middle Aged ROC Curve Myocardial Contraction Predictive Value of Tests Humans Machine Learning Signal Processing, Computer-Assisted Female Ventricular Dysfunction, Left Early Diagnosis Heart Failure, Diastolic
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Classification of cell morphology with quantitative phase microscopy and machine learning.

Optics express Aug 3, 2020
We describe and compare two machine learning approaches for cell classification based on label-free quantitative phase imaging with transport of intensity equation methods. In one approach, we design a multilevel integrated machine learning classifie...
Area Under Curve Microscopy Cell Shape Macrophages Animals Humans ROC Curve Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Algorithms
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An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.

The Lancet. Digital health Aug 1, 2020
BACKGROUND: There is high demand to develop computer-assisted diagnostic tools to evaluate prostate core needle biopsies (CNBs), but little clinical validation and a lack of clinical deployment of such tools. We report here on a blinded clinical vali...
Pathology, Clinical ROC Curve Aged Area Under Curve Aged, 80 and over Prostate Humans Adult Prostatic Neoplasms Pathologists Artificial Intelligence Male Neoplasm Grading Microscopy Data Analysis Middle Aged Image Interpretation, Computer-Assisted Algorithms Biopsy, Large-Core Needle
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