AIMC Topic: ROC Curve

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[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

Zhonghua wai ke za zhi [Chinese journal of surgery] Jul 1, 2020
To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value. In this study, 4 024 enhanced CT imaging sequences of 315 patients with pancreatic cancer from Janua...
Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity ROC Curve Pancreatic Neoplasms Humans Neural Networks, Computer Image Interpretation, Computer-Assisted
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Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.

Korean journal of radiology Jul 1, 2020
OBJECTIVE: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images.
Young Adult Adult Male Middle Aged Area Under Curve Tomography, X-Ray Computed ROC Curve Feasibility Studies Female Image Processing, Computer-Assisted Thorax Aged Humans Aged, 80 and over Neural Networks, Computer Rib Fractures
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A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty.

The Journal of the American Academy of Orthopaedic Surgeons Jul 1, 2020
INTRODUCTION: Patient selection for outpatient total shoulder arthroplasty (TSA) is important to optimizing patient outcomes. This study aims to develop a machine learning tool that may aid in patient selection for outpatient total should arthroplast...
Female Aged Pulmonary Disease, Chronic Obstructive Male Comorbidity Humans Machine Learning Forecasting Decision Support Techniques Age Factors Patient Selection Sex Factors Outpatients Arthroplasty, Replacement, Shoulder Length of Stay ROC Curve Logistic Models Treatment Outcome
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Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.

Nature medicine Jun 1, 2020
Research Report Guidelines as Topic Diagnostic Techniques and Procedures Sensitivity and Specificity ROC Curve Predictive Value of Tests Area Under Curve Humans Artificial Intelligence
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Diagnostic classification of solitary pulmonary nodules using support vector machine model based on 2-[18F]fluoro-2-deoxy-D-glucose PET/computed tomography texture features.

Nuclear medicine communications Jun 1, 2020
PURPOSE: This study aimed to evaluate the diagnostic value of a support vector machine (SVM) model built with texture features based on standard 2-[F]fluoro-2-deoxy-D-glucose (F-FDG) PET in patients with solitary pulmonary nodules (SPNs) at a volume ...
Retrospective Studies Female Male Middle Aged Support Vector Machine Tumor Burden Solitary Pulmonary Nodule Humans Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography ROC Curve Image Processing, Computer-Assisted
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Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy.

Cornea Jun 1, 2020
PURPOSE: To evaluate the ability of deep learning (DL) models to detect obstructive meibomian gland dysfunction (MGD) using in vivo laser confocal microscopy images.
Constriction, Pathologic Meibomian Glands Meibomian Gland Dysfunction ROC Curve Adult Retrospective Studies Microscopy, Confocal Male Female Adolescent Aged Humans Follow-Up Studies Neural Networks, Computer Aged, 80 and over Young Adult Child Middle Aged Deep Learning
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Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Jun 1, 2020
BACKGROUND: Deep learning (DL) has demonstrated human expert levels of performance for medical image classification in a wide array of medical fields, including ophthalmology. In this article, we present the results of our DL system designed to deter...
Ophthalmology Optic Disk Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Neurology Machine Learning Algorithms Deep Learning ROC Curve Humans
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Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.

Molecular imaging and biology Jun 1, 2020
PURPOSE: To identify optimal machine learning methods for radiomics-based differentiation of local recurrence versus inflammation from post-treatment nasopharyngeal positron emission tomography/X-ray computed tomography (PET/CT) images.
Inflammation Diagnosis, Differential Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Female Male ROC Curve Image Processing, Computer-Assisted Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Machine Learning Algorithms Retrospective Studies Humans
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Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.

Integrative biology : quantitative biosciences from nano to macro May 21, 2020
Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochem...
ROC Curve Signal Transduction Decision Making DNA Damage Genes, p53 Outcome Assessment, Health Care Humans PTEN Phosphohydrolase Normal Distribution Probability Machine Learning Tumor Suppressor Protein p53 Algorithms Multivariate Analysis Reproducibility of Results
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Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning.

American journal of human genetics May 7, 2020
Access to large-scale genomics datasets has increased the utility of hypothesis-free genome-wide analyses. However, gene signals are often insufficiently powered to reach experiment-wide significance, triggering a process of laborious triaging of gen...
Genetic Association Studies Deep Learning Humans Epilepsy Supervised Machine Learning Renal Insufficiency, Chronic ROC Curve Neural Networks, Computer Amyotrophic Lateral Sclerosis Stochastic Processes Mice Disease Models, Animal Reproducibility of Results Exome Genomics Area Under Curve Animals
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