AIMC Topic: Radiography, Thoracic

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Clinical and Economic Evaluation of a Real-Time Chest X-Ray Computer-Aided Detection System for Misplaced Endotracheal and Nasogastric Tubes and Pneumothorax in Emergency and Critical Care Settings: Protocol for a Cluster Randomized Controlled Trial.

JMIR research protocols Aug 20, 2025
BACKGROUND: Advancements in artificial intelligence (AI) have driven substantial breakthroughs in computer-aided detection (CAD) for chest x-ray (CXR) imaging. The National Taiwan University Hospital research team previously developed an AI-based eme...
Artificial Intelligence Pilot Projects Taiwan Humans Radiography, Thoracic Intubation, Intratracheal Intubation, Gastrointestinal Pneumothorax Randomized Controlled Trials as Topic Critical Care Cost-Benefit Analysis
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Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography.

Scientific reports Aug 10, 2025
Pulmonary disease can severely impair respiratory function and be life-threatening. Accurately recognizing pulmonary diseases in chest X-ray images is challenging due to overlapping body structures and the complex anatomy of the chest. We propose an ...
Lung Diseases Humans Radiography, Thoracic Neural Networks, Computer Pneumonia Algorithms COVID-19 Radiographic Image Interpretation, Computer-Assisted SARS-CoV-2
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A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Biomedical physics & engineering express Aug 5, 2025
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi...
Lung Diseases Radiography, Thoracic Machine Learning Support Vector Machine COVID-19 Algorithms Pneumonia SARS-CoV-2 Radiographic Image Interpretation, Computer-Assisted Lung Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation.

PloS one Jul 29, 2025
Chest X-ray (CXR) imaging plays a pivotal role in the diagnosis and prognosis of viral pneumonia. However, distinguishing COVID-19 CXRs from other viral infections remains challenging due to highly similar radiographic features. Most existing deep le...
Severity of Illness Index Deep Learning Diagnosis, Differential Adult Male Middle Aged Radiography, Thoracic Community-Acquired Infections Pneumonia, Viral Humans SARS-CoV-2 Aged COVID-19 Female
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Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study.

BMJ open Jul 28, 2025
INTRODUCTION: Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacillary disease, non-specific symptoms and signs and challenges in microbiological confirmation. Chest X-ray (CXR) interpretation is fundamental for diag...
Tuberculosis, Pulmonary Radiography, Thoracic Multicenter Studies as Topic South Africa Pakistan Adolescent Child, Preschool Child Artificial Intelligence Algorithms Prospective Studies Humans Male Infant Female Sensitivity and Specificity
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Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying endotracheal tube position on plain chest X-ray: a multi-case multi-reader study.

Critical care (London, England) Jul 28, 2025
BACKGROUND: Incorrectly placed endotracheal tubes (ETTs) can lead to serious clinical harm. Studies have demonstrated the potential for artificial intelligence (AI)-led algorithms to detect ETT placement on chest X-Ray (CXR) images, however their eff...
Humans Artificial Intelligence Retrospective Studies Female Middle Aged Radiography, Thoracic Aged Intubation, Intratracheal Adult Male
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Deep learning for pediatric chest x-ray diagnosis: Repurposing a commercial tool developed for adults.

PloS one Jul 24, 2025
The number of commercially available artificial intelligence (AI) tools to support radiological workflows is constantly increasing, yet dedicated solutions for children are largely unavailable. Here, we repurposed an AI-tool developed for chest radio...
Humans Male Deep Learning Female Adult Radiographic Image Interpretation, Computer-Assisted Adolescent Radiography, Thoracic Child, Preschool Child
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FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data.

PloS one Jul 17, 2025
Pneumonia, a severe lung infection caused by various viruses, presents significant challenges in diagnosis and treatment due to its similarities with other respiratory conditions. Additionally, the need to protect patient privacy complicates the shar...
Neural Networks, Computer Deep Learning Pneumonia Humans Radiography, Thoracic
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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

BMC medical imaging Jul 2, 2025
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method. It combines hierarchical attention convolutional networks with a multi-label decoupling lo...
Lung Humans Lung Diseases Convolutional Neural Networks Radiography, Thoracic Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Algorithms
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Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods.

Scientific reports Jul 1, 2025
Given artificial intelligence's transformative effects, studying safety is important to ensure it is implemented in a beneficial way. Convolutional neural networks are used in radiology research for prediction but can be corrupted through adversarial...
Convolutional Neural Networks Humans Pneumonia Neural Networks, Computer Radiography, Thoracic Artificial Intelligence
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