AIMC Topic: Sensitivity and Specificity

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Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.

JAMA network open Dec 1, 2021
IMPORTANCE: Machine learning algorithms could be used as the basis for clinical decision-making aids to enhance clinical practice.
Prospective Studies Prognosis Female Risk Factors Aged Humans Machine Learning Dementia Incidence United States Predictive Value of Tests Area Under Curve Sensitivity and Specificity Male Risk Assessment Disease Progression Cognitive Dysfunction
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Deep neural network for video colonoscopy of ulcerative colitis: a cross-sectional study.

The lancet. Gastroenterology & hepatology Nov 29, 2021
BACKGROUND: A combination of endoscopic and histological evaluation is important in the management of patients with ulcerative colitis. We aimed to adapt our previous deep neural network system (deep neural ulcerative colitis [DNUC]) to full video co...
Intestinal Mucosa Biopsy Remission Induction Video Recording Random Allocation Cross-Sectional Studies Male Humans Middle Aged Prospective Studies Neural Networks, Computer Colonoscopy Female Colitis, Ulcerative Adult Sensitivity and Specificity
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Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.

BMC medical imaging Nov 25, 2021
BACKGROUND: Tc-pertechnetate thyroid scintigraphy is a valid complementary avenue for evaluating thyroid disease in the clinic, the image feature of thyroid scintigram is relatively simple but the interpretation still has a moderate consistency among...
Male China Thyroid Diseases Predictive Value of Tests Thyroid Function Tests Radiopharmaceuticals Neural Networks, Computer Datasets as Topic Retrospective Studies Sodium Pertechnetate Tc 99m Humans Female Adult Sensitivity and Specificity
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Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.

European journal of radiology Nov 24, 2021
OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) system in a Chinese low-dose CT (LDCT) lung cancer screening program.
Humans Tomography, X-Ray Computed Solitary Pulmonary Nodule Reproducibility of Results Early Detection of Cancer Sensitivity and Specificity Lung Radiographic Image Interpretation, Computer-Assisted Deep Learning China Lung Neoplasms
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Convolutional neural network performance compared to radiologists in detecting intracranial hemorrhage from brain computed tomography: A systematic review and meta-analysis.

European journal of radiology Nov 24, 2021
PURPOSE: To compare the diagnostic accuracy of convolutional neural networks (CNN) with radiologists as the reference standard in the diagnosis of intracranial hemorrhages (ICH) with non contrast computed tomography of the cerebrum (NCTC).
Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity Radiologists Intracranial Hemorrhages
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Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.

BMC cancer Nov 24, 2021
BACKGROUND: Radiomics may provide more objective and accurate predictions for extrahepatic cholangiocarcinoma (ECC). In this study, we developed radiomics models based on magnetic resonance imaging (MRI) and machine learning to preoperatively predict...
Cholangiocarcinoma Middle Aged ROC Curve Adenocarcinoma Lymphatic Metastasis Aged Magnetic Resonance Imaging Aged, 80 and over Predictive Value of Tests Adult Humans Area Under Curve Machine Learning Sensitivity and Specificity Neoplasm Grading Algorithms Male Bile Duct Neoplasms Retrospective Studies Female
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External validation of a commercially available deep learning algorithm for fracture detection in children.

Diagnostic and interventional imaging Nov 19, 2021
PURPOSE: The purpose of this study was to conduct an external validation of a fracture assessment deep learning algorithm (Rayvolve®) using digital radiographs from a real-life cohort of children presenting routinely to the emergency room.
Female Infant, Newborn Sensitivity and Specificity Male Infant Humans Algorithms Retrospective Studies Radiography Deep Learning Adolescent Child, Preschool Child
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Optimization of clinical risk-factor interpretation and radiological findings with machine learning for PIRADS category 3 patients.

The Prostate Nov 15, 2021
BACKGROUND: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biop...
Humans Machine Learning Research Design Aged Image-Guided Biopsy Prostatic Neoplasms Unnecessary Procedures Prostate-Specific Antigen Public Reporting of Healthcare Data Ultrasonography, Interventional Prostate Sensitivity and Specificity Quality Improvement Male Risk Assessment Magnetic Resonance Imaging
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Development and Validation of a Natural Language Processing Tool to Identify Injuries in Infants Associated With Abuse.

Academic pediatrics Nov 12, 2021
OBJECTIVES: Medically minor but clinically important findings associated with physical child abuse, such as bruises in pre-mobile infants, may be identified by frontline clinicians yet the association of these injuries with child abuse is often not r...
Humans Algorithms Electronic Health Records Natural Language Processing Sensitivity and Specificity Child Abuse Infant Child
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Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study.

PloS one Nov 4, 2021
Ali-M3, an artificial intelligence program, analyzes chest computed tomography (CT) and detects the likelihood of coronavirus disease (COVID-19) based on scores ranging from 0 to 1. However, Ali-M3 has not been externally validated. Our aim was to ev...
Adult Probability Image Processing, Computer-Assisted Sensitivity and Specificity Humans Area Under Curve Tomography, X-Ray Computed Male Diagnosis, Computer-Assisted Middle Aged Female COVID-19 Deep Learning Japan Reproducibility of Results Algorithms Cohort Studies COVID-19 Testing SARS-CoV-2 Retrospective Studies Reverse Transcriptase Polymerase Chain Reaction Aged ROC Curve
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