Article

Machine Learning for Pneumothorax in Trauma victims: cross-sectional validation study (PneumoDetect)

2023-04-07

Abstract excerpt

<h4>Background: </h4> Pneumothorax is a potentially fatal condition that requires early diagnosis and prompt management upon arrival at the Emergency Department(ED). The purpose of this study is to validate a Pneumothorax Machine learning (PneumoDetect) model designed on both an online and in-hospital dataset, and to compare its accuracy to that of radiologist and emergency physician <h4>Method: </h4> We conducte...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 636b26e5-196c-5d28-8700-d3f3affbabe9
DOI: 10.21203/rs.3.rs-2749512/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine Learning for Pneumothorax in Trauma victims: cross-sectional validation study (PneumoDetect)DOI 10.21203/rs.3.rs-2749512/v1Read

External Validation of an Artificial Intelligence Triaging System for Chest X-Rays: A Retrospective Independent Clinical StudySemantic proximity Read

COVID-19 Severity Prediction from Chest X-ray Images using an Anatomy-Aware Deep Learning ModelSemantic proximity Read

Automated assessment of chest CT severity scores in patients suspected of COVID-19 infectionSemantic proximity Read

Diagnostic Accuracy of an Offline CNN Framework Utilizing Multi-View Chest X-Rays for Screening 14 Co-Occurring Communicable and Non-Communicable DiseasesSemantic proximity Read

Pneumothorax: Demographics, Treatment, and Nursing CareSemantic proximity Read

AI-Based Computational Pathology for Precision Lung Cancer Management: A Systematic Review and Meta-Analysis of Diagnostics and Prognostic AlgorithmsSemantic proximity Read

Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) imagesSemantic proximity Read

Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Chest X-raysSemantic proximity Read

Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-raysSemantic proximity Read

Deep-learning convolutional neural networks with transfer learning accurately classify COVID19 lung infection on portable chest radiographsSemantic proximity Read

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19Semantic proximity Read

A Retrospective Multi-Source Clinical Validation of Lenek Intelligent Radiology Assistant: An Artificial Intelligence-Based Chest Radiograph Screening and Triage System for High-Burden Pulmonary and Cardiac Conditions in IndiaSemantic proximity Read