AIMC Topic: Retrospective Studies

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Detection of Muscle Weakness in Medical Texts Using Natural Language Processing.

Studies in health technology and informatics Jun 16, 2020
Identifying adverse events in clinical documents is demanded in retrospective clinical research and prospective monitoring of treatment safety and cost-effectiveness. We proposed and evaluated a few methods of semi-automated muscle weakness detection...
Paresis Muscle Weakness Prospective Studies Humans Retrospective Studies Electronic Health Records Natural Language Processing
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Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks.

Spine Jun 15, 2020
STUDY DESIGN: Retrospective magnetic resonance imaging grading with comparison between experts and deep convolutional neural networks (CNNs).
Prognosis Retrospective Studies Magnetic Resonance Imaging Spinal Stenosis Humans Neural Networks, Computer
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Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation.

The Lancet. Digital health Jun 1, 2020
BACKGROUND: The diagnostic performance of CT for pancreatic cancer is interpreter-dependent, and approximately 40% of tumours smaller than 2 cm evade detection. Convolutional neural networks (CNNs) have shown promise in image analysis, but the networ...
Male Radiographic Image Enhancement Female Contrast Media Middle Aged Reproducibility of Results Taiwan Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Aged Diagnosis, Differential Pancreas Sensitivity and Specificity Retrospective Studies Pancreatic Neoplasms Racial Groups Tomography, X-Ray Computed
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Deep learning for pancreatic cancer detection: current challenges and future strategies.

The Lancet. Digital health Jun 1, 2020
Humans Neural Networks, Computer Retrospective Studies Deep Learning Image Processing, Computer-Assisted Pancreatic Neoplasms
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Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?

Open heart Jun 1, 2020
OBJECTIVE: Electrical cardioversion is frequently performed to restore sinus rhythm in patients with persistent atrial fibrillation (AF). However, AF recurs in many patients and identifying the patients who benefit from electrical cardioversion is di...
Aged Male Middle Aged Recurrence Risk Assessment Machine Learning Electric Countershock Treatment Outcome Atrial Fibrillation Retrospective Studies Recovery of Function Clinical Decision Rules Sex Factors Humans Clinical Decision-Making Heart Disease Risk Factors Predictive Value of Tests Female Patient Selection
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Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.

Ultrasound quarterly Jun 1, 2020
This study evaluates the performance of convolutional neural networks (CNNs) in risk stratifying the malignant potential of thyroid nodules alongside traditional methods such as American College of Radiology Thyroid Imaging Reporting and Data System ...
Thyroid Nodule Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Neural Networks, Computer Retrospective Studies Female Sensitivity and Specificity Male Middle Aged Risk Assessment Thyroid Gland Humans
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Machine learning-based prediction of outcomes of the endoscopic endonasal approach in Cushing disease: is the future coming?

Neurosurgical focus Jun 1, 2020
OBJECTIVE: Machine learning (ML) is an innovative method to analyze large and complex data sets. The aim of this study was to evaluate the use of ML to identify predictors of early postsurgical and long-term outcomes in patients treated for Cushing d...
Neuroendoscopy Pituitary ACTH Hypersecretion Follow-Up Studies Predictive Value of Tests Nasal Cavity Female Aged Young Adult Adult Male Middle Aged Adolescent Treatment Outcome Humans Machine Learning Forecasting Retrospective Studies
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Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning.

Korean journal of radiology Jun 1, 2020
OBJECTIVE: To evaluate the accuracy of a deep learning-based automated segmentation of the left ventricle (LV) myocardium using cardiac CT.
Humans Algorithms Sensitivity and Specificity Male Middle Aged Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Coronary Artery Disease Heart Ventricles Automation
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Fully Automated Segmentation of Connective Tissue Compartments for CT-Based Body Composition Analysis: A Deep Learning Approach.

Investigative radiology Jun 1, 2020
OBJECTIVE: Body composition comprises prognostic information in patients with various malignancies and can be opportunistically determined from routine computed tomography (CT) scans. However, accurate assessment of patients with alterations, for exa...
Female Male Deep Learning Humans Body Composition Subcutaneous Fat Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed
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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 ...
Image Processing, Computer-Assisted Support Vector Machine Solitary Pulmonary Nodule Humans Tumor Burden Positron Emission Tomography Computed Tomography Male Retrospective Studies Fluorodeoxyglucose F18 Middle Aged Female ROC Curve
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