AIMC Topic: Pneumothorax

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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Image-Guided Biopsy Portasystemic Shunt, Transjugular Intrahepatic Iatrogenic Disease Pneumothorax Young Adult Uterine Artery Embolization Adult Hospital Mortality Male United States Middle Aged Inpatients Risk Assessment Data Mining Time Factors Radiography, Interventional Child, Preschool Child Infant Length of Stay Adolescent Female Infant, Newborn Risk Factors Aged Aged, 80 and over Humans Machine Learning Databases, Factual Retrospective Studies
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Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography.

European radiology experimental Apr 17, 2020
BACKGROUND: Automatically detecting and quantifying pneumothorax on chest computed tomography (CT) may impact clinical decision-making. Machine learning methods published so far struggle with the heterogeneity of technical parameters and the presence...
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Deep Learning Adolescent Child, Preschool Child Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Aged, 80 and over Adult Male Middle Aged Infant Pneumothorax
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Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.

European radiology Mar 11, 2020
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising from percutaneous lung biopsy. We evaluated the performance of a deep learning algorithm for detection of post-biopsy pneumothorax in chest radiographs ...
Area Under Curve Radiologists Radiography, Thoracic Biopsy, Needle Pneumothorax Female Aged Adult Sensitivity and Specificity Male Middle Aged Lung Deep Learning Cohort Studies ROC Curve Humans Algorithms Retrospective Studies
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Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images.

Clinical imaging Jan 8, 2020
PURPOSE: To validate a machine learning model trained on an open source dataset and subsequently optimize it to chest X-rays with large pneumothoraces from our institution.
Radiography Pneumothorax Retrospective Studies Sensitivity and Specificity Male Deep Learning Area Under Curve Humans Machine Learning Algorithms
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Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.

European radiology Nov 20, 2019
OBJECTIVE: To investigate the feasibility of a deep learning-based detection (DLD) system for multiclass lesions on chest radiograph, in comparison with observers.
Humans Area Under Curve Middle Aged Female Radiography Deep Learning Radiography, Thoracic Aged ROC Curve Pleural Effusion Pneumothorax Adult Lung Neoplasms Lung Diseases Pleural Diseases Solitary Pulmonary Nodule Sensitivity and Specificity Lung Diseases, Interstitial Male
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Deep learning-enabled system for rapid pneumothorax screening on chest CT.

European journal of radiology Sep 26, 2019
PURPOSE: Prompt diagnosis and quantitation of pneumothorax impact decisions pertaining to patient management. The purpose of our study was to develop and evaluate the accuracy of a deep learning (DL)-based image classification program for detection o...
Male Middle Aged Deep Learning Adolescent Child, Preschool Time Pneumothorax Child Support Vector Machine Radiography, Thoracic Aged Aged, 80 and over Young Adult Adult Humans Sensitivity and Specificity Neural Networks, Computer Tomography, X-Ray Computed Female Reproducibility of Results
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Application of deep learning-based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy.

European radiology Mar 26, 2019
OBJECTIVES: To retrospectively evaluate the diagnostic performance of a convolutional neural network (CNN) model in detecting pneumothorax on chest radiographs obtained after percutaneous transthoracic needle biopsy (PTNB) for pulmonary lesions.
Neural Networks, Computer Retrospective Studies Female Sensitivity and Specificity Male Drainage Humans Image-Guided Biopsy Middle Aged Area Under Curve Biopsy, Needle Lung Radiography Pneumothorax Diagnosis, Computer-Assisted Deep Learning ROC Curve
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Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.

PLoS medicine Nov 20, 2018
BACKGROUND: Pneumothorax can precipitate a life-threatening emergency due to lung collapse and respiratory or circulatory distress. Pneumothorax is typically detected on chest X-ray; however, treatment is reliant on timely review of radiographs. Sinc...
Radiographic Image Interpretation, Computer-Assisted Automation Radiography, Thoracic Humans Pneumothorax Retrospective Studies Databases, Factual Reproducibility of Results Prognosis Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests
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Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine.

Journal of healthcare engineering Apr 3, 2018
Automatic image segmentation and feature analysis can assist doctors in the treatment and diagnosis of diseases more accurately. Automatic medical image segmentation is difficult due to the varying image quality among equipment. In this paper, the au...
Support Vector Machine Adult Pneumothorax Humans Male Tomography, X-Ray Computed Middle Aged Female Lung Aged Adolescent Young Adult
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Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion.

Radiology Sep 1, 2023
Background Commercially available artificial intelligence (AI) tools can assist radiologists in interpreting chest radiographs, but their real-life diagnostic accuracy remains unclear. Purpose To evaluate the diagnostic accuracy of four commercially ...
Adult Sensitivity and Specificity Deep Learning Pleural Effusion Radiography, Thoracic Pneumothorax Humans Artificial Intelligence Retrospective Studies Female Aged
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