AIMC Topic: Predictive Value of Tests

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A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.

European journal of radiology May 20, 2020
PURPOSE: To investigate the effects of different methodologies on the performance of deep learning (DL) model for differentiating high- from low-grade clear cell renal cell carcinoma (ccRCC).
Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Humans Retrospective Studies Tomography, X-Ray Computed Female Male Reproducibility of Results Middle Aged Deep Learning ROC Curve Kidney Predictive Value of Tests
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Unsupervised Cluster Analysis of Patients With Aortic Stenosis Reveals Distinct Population With Different Phenotypes and Outcomes.

Circulation. Cardiovascular imaging May 18, 2020
BACKGROUND: There is a lack of studies investigating the heterogeneity of patients with aortic stenosis (AS). We explored whether cluster analysis identifies distinct subgroups with different prognostic significances in AS.
Cause of Death Cluster Analysis Aortic Valve Stenosis Aortic Valve Unsupervised Machine Learning Predictive Value of Tests Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Echocardiography Middle Aged Comorbidity Severity of Illness Index Hemodynamics Age Factors Decision Support Techniques Humans Phenotype Prospective Studies Prognosis Female
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Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries.

American journal of obstetrics and gynecology May 17, 2020
BACKGROUND: The process of childbirth is one of the most crucial events in the future health and development of the offspring. The vulnerability of parturients and fetuses during the delivery process led to the development of intrapartum monitoring m...
Models, Theoretical Humans Predictive Value of Tests Machine Learning Delivery, Obstetric Electronic Health Records Prenatal Diagnosis Pregnancy Trial of Labor Female
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Automatic Grading System for Diabetic Retinopathy Diagnosis Using Deep Learning Artificial Intelligence Software.

Current eye research May 15, 2020
: To describe the development and validation of an artificial intelligence-based, deep learning algorithm (DeepDR) for the detection of diabetic retinopathy (DR) in retinal fundus photographs. : Five hundred fundus images, which had detailed labellin...
Fluorescein Angiography Retinal Hemorrhage Photography Microaneurysm Diagnosis, Computer-Assisted Humans Deep Learning Diabetic Retinopathy Predictive Value of Tests Neural Networks, Computer Area Under Curve Software Exudates and Transudates Reproducibility of Results Sensitivity and Specificity
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Artificial intelligence approach fighting COVID-19 with repurposing drugs.

Biomedical journal May 15, 2020
BACKGROUND: The ongoing COVID-19 pandemic has caused more than 193,825 deaths during the past few months. A quick-to-be-identified cure for the disease will be a therapeutic medicine that has prior use experiences in patients in order to resolve the ...
Humans Artificial Intelligence Pandemics Data Management COVID-19 Predictive Value of Tests SARS-CoV-2 Drug Repositioning Coronavirus Infections Betacoronavirus Pneumonia, Viral
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Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.

Diabetes care May 15, 2020
OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of fu...
Aged, 80 and over Young Adult Adult Male Middle Aged Humans Algorithms Electronic Health Records Female Severity of Illness Index Aged Hypoglycemia Diabetes Mellitus, Type 2 Information Storage and Retrieval United States International Classification of Diseases Predictive Value of Tests Community Health Planning Natural Language Processing Clinical Decision Rules
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Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks.

Journal of the American Heart Association May 14, 2020
BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardiac abnormalities, and conventional computerized interpretation has not been able to reach physician-level accuracy in detecting (acute) cardiac abnorm...
Humans Clinical Decision-Making Female Reproducibility of Results Middle Aged Deep Learning Adolescent Electrocardiography Predictive Value of Tests Triage Aged Aged, 80 and over Young Adult Adult Male Signal Processing, Computer-Assisted Heart Diseases Automation
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CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.

Journal of medical imaging and radiation oncology May 9, 2020
INTRODUCTION: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT-based radiomic imaging biomarker to predict path...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Predictive Value of Tests Adult Neoplasm Staging Biomarkers, Tumor Neoplasm Grading Male Rectal Neoplasms Middle Aged Chemoradiotherapy Neoadjuvant Therapy Florida
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Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video).

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association May 7, 2020
BACKGROUND: Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to gastric cancer. Recently, it was found that even after the successful eradication of H. pylori, an increased, i.e., moderate, risk of gastric cancer pe...
Endoscopy, Digestive System Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Area Under Curve Female Helicobacter Infections Color Humans Aged Helicobacter pylori Sensitivity and Specificity Prospective Studies Feasibility Studies Male Image Enhancement Middle Aged Gastric Mucosa Atrophy
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Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.

The British journal of ophthalmology May 6, 2020
BACKGROUND: Photographic diabetic retinopathy screening requires labour-intensive grading of retinal images by humans. Automated retinal image analysis software (ARIAS) could provide an alternative to human grading. We compare the performance of an A...
Female Reproducibility of Results Aged Adult Sensitivity and Specificity Cross-Sectional Studies Humans Diabetic Retinopathy Artificial Intelligence Algorithms Diagnostic Imaging Male Retina Diagnostic Tests, Routine Middle Aged False Positive Reactions Image Processing, Computer-Assisted Reference Standards Microscopy, Confocal Slit Lamp Microscopy Predictive Value of Tests
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