AIMC Topic: ROC Curve

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Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer.

Medical physics Feb 1, 2022
PURPOSE: We aimed to develop a noninvasive artificial intelligence (AI) model to diagnose signet-ring cell carcinoma (SRCC) of gastric cancer (GC) and identify patients with SRCC who could benefit from postoperative chemotherapy based on preoperative...
Stomach Neoplasms Deep Learning ROC Curve Carcinoma, Signet Ring Cell Humans Artificial Intelligence
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Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury.

Computational and mathematical methods in medicine Jan 31, 2022
This study was aimed at analyzing the diagnostic value of convolutional neural network models on account of deep learning for severe sepsis complicated with acute kidney injury and providing an effective theoretical reference for the clinical use of ...
Deep Learning Sepsis Ultrasonography Area Under Curve Image Interpretation, Computer-Assisted ROC Curve Acute Kidney Injury Computational Biology Humans Case-Control Studies Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms
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Systematic review with meta-analysis: artificial intelligence in the diagnosis of oesophageal diseases.

Alimentary pharmacology & therapeutics Jan 30, 2022
BACKGROUND: Artificial intelligence (AI) has recently been applied to endoscopy and questionnaires for the evaluation of oesophageal diseases (ODs).
ROC Curve Odds Ratio Gastroesophageal Reflux Humans Artificial Intelligence Endoscopy
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Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.

Scientific reports Jan 26, 2022
Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderly leading to excess morbidity and mortality. Early PAD diagnosis is important, as the only available causal therapy is addressing risk factors like sm...
Feasibility Studies Early Diagnosis Optic Disk Retinal Vessels Peripheral Arterial Disease Female Diagnostic Techniques, Ophthalmological Middle Aged Area Under Curve Photography Aged Deep Learning Humans Aged, 80 and over Fundus Oculi ROC Curve Neural Networks, Computer Male Biomarkers
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Assessment of germinal matrix hemorrhage on head ultrasound with deep learning algorithms.

Pediatric radiology Jan 22, 2022
BACKGROUND: Germinal matrix hemorrhage-intraventricular hemorrhage is among the most common intracranial complications in premature infants. Early detection is important to guide clinical management for improved patient prognosis.
Humans ROC Curve Neural Networks, Computer Algorithms Infant Infant, Newborn Deep Learning Ultrasonography
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An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus.

Scientific reports Jan 21, 2022
Gestational Diabetes Mellitus (GDM), a common pregnancy complication associated with many maternal and neonatal consequences, is increased in mothers with overweight and obesity. Interventions initiated early in pregnancy can reduce the rate of GDM i...
Models, Statistical Randomized Controlled Trials as Topic Diabetes, Gestational Humans Smartphone Risk Assessment Maternal Age Machine Learning Mobile Applications ROC Curve Overweight Risk Factors Decision Support Systems, Clinical Pregnancy Adult Female
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Automated detection of COVID-19 through convolutional neural network using chest x-ray images.

PloS one Jan 21, 2022
The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the...
Case-Control Studies Deep Learning ROC Curve Female SARS-CoV-2 Male Pneumonia, Bacterial Diagnosis, Differential Image Interpretation, Computer-Assisted Radiography, Thoracic COVID-19 Databases, Factual Humans
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A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.

Neuroradiology Jan 17, 2022
PURPOSE: This study aimed to investigate the clinical usefulness of the enhanced-T1WI-based deep learning radiomics model (DLRM) in differentiating low- and high-grade meningiomas.
Retrospective Studies Humans Deep Learning Meningioma ROC Curve Algorithms Cohort Studies Meningeal Neoplasms Magnetic Resonance Imaging
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A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

IEEE journal of biomedical and health informatics Jan 17, 2022
The ability to perform accurate prognosis is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall of infrequent positive outcomes. We present a...
Electronic Health Records Hospitalization Length of Stay Humans Machine Learning Retrospective Studies ROC Curve
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Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study.

The Journal of hospital infection Jan 16, 2022
BACKGROUND: Urinary tract infection (UTI) is one of major nosocomial infections significantly affecting the outcomes of immobile stroke patients. Previous studies have identified several risk factors, but it is still challenging to accurately estimat...
Humans Machine Learning Retrospective Studies Urinary Tract Infections Female Cohort Studies ROC Curve
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