AIMC Topic: Area Under Curve

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Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras.

The British journal of ophthalmology Jul 9, 2021
BACKGROUND/AIMS: To evaluate the performances of deep learning (DL) algorithms for detection of presence and extent pterygium, based on colour anterior segment photographs (ASPs) taken from slit-lamp and hand-held cameras.
Pterygium Algorithms Deep Learning Area Under Curve Eye Diseases Humans
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Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study.

Computational and mathematical methods in medicine Jul 5, 2021
Accurate risk assessment of high-risk patients is essential in clinical practice. However, there is no practical method to predict or monitor the prognosis of patients with ST-segment elevation myocardial infarction (STEMI) complicated by hyperuricem...
China Computational Biology Logistic Models Area Under Curve ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Hyperuricemia Heart Disease Risk Factors Retrospective Studies Female Aged Male Middle Aged Humans Machine Learning Algorithms Prognosis
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Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis.

Mayo Clinic proceedings Jul 2, 2021
OBJECTIVE: To develop an artificial intelligence (AI)-based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG).
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Area Under Curve Early Diagnosis Time-to-Treatment Cardiomyopathies Amyloid Neuropathies, Familial Male Middle Aged United States Electrocardiography Predictive Value of Tests
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Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.

The Lancet. Digital health Jul 1, 2021
BACKGROUND: Chest x-rays are widely used in clinical practice; however, interpretation can be hindered by human error and a lack of experienced thoracic radiologists. Deep learning has the potential to improve the accuracy of chest x-ray interpretati...
Models, Biological Radiography, Thoracic Infections X-Rays Male Middle Aged Deep Learning Adolescent Female ROC Curve Aged Thoracic Neoplasms Aged, 80 and over Mass Screening Young Adult Area Under Curve Adult Radiologists Humans Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Thoracic Injuries Retrospective Studies
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Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

JAMA network open Jul 1, 2021
IMPORTANCE: Electronic health records (EHRs) provide a low-cost means of accessing detailed longitudinal clinical data for large populations. A lung cancer cohort assembled from EHR data would be a powerful platform for clinical outcome studies.
Humans Machine Learning Algorithms Prognosis Lung Neoplasms Area Under Curve Survival Analysis Survivors Boston Electronic Health Records Female Male Cohort Studies ROC Curve
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Prediction of preterm birth in nulliparous women using logistic regression and machine learning.

PloS one Jun 30, 2021
OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning.
Logistic Models Young Adult Area Under Curve Adult Pregnancy Trimester, First ROC Curve Pregnancy Trimester, Second Ontario Retrospective Studies Pregnancy Female Premature Birth Parity Humans Machine Learning
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Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.

The Lancet. Digital health Jun 29, 2021
BACKGROUND: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial reso...
Neural Networks, Computer Data Analysis Forecasting Databases, Factual Retrospective Studies Female Risk Factors Aged Adult Male Humans ROC Curve Data Management Area Under Curve Models, Biological Postoperative Period Middle Aged Risk Assessment Postoperative Complications Biomedical Technology Adolescent
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State-of-the-art machine learning algorithms for the prediction of outcomes after contemporary heart transplantation: Results from the UNOS database.

Clinical transplantation Jun 29, 2021
PURPOSE: We sought to develop and validate machine learning (ML) models to increase the predictive accuracy of mortality after heart transplantation (HT).
Databases, Factual Female Aged Adult Male Middle Aged Area Under Curve Heart Transplantation Humans Machine Learning Algorithms
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Embryo selection with artificial intelligence: how to evaluate and compare methods?

Journal of assisted reproduction and genetics Jun 26, 2021
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of fertilized oocytes (embryos) and selecting the best embryo(s) available within a patient cohort for subsequent transfer or cryopreservation. In recent year...
Calibration Decision Making, Computer-Assisted Fertilization in Vitro Area Under Curve Sample Size Blastocyst Humans Artificial Intelligence Databases, Factual Pregnancy Female Sensitivity and Specificity Image Processing, Computer-Assisted Embryo Transfer Cryopreservation
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A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture.

Computational and mathematical methods in medicine Jun 21, 2021
Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cut-offs make diagnostic accuracy being low, particularly in primary c...
Sensitivity and Specificity Case-Control Studies Diagnosis, Computer-Assisted Cognitive Dysfunction Decision Support Systems, Clinical Neural Networks, Computer Databases, Factual Aged Aged, 80 and over Computational Biology Area Under Curve Neuropsychological Tests Humans
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