AIMC Topic: Radiographic Image Interpretation, Computer-Assisted
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Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease.
BMC medical imaging
Aug 19, 2025
AIM: Timely intervention of interstitial lung disease (ILD) was promising for attenuating the lung function decline and improving clinical outcomes. The prone position HRCT is essential for early diagnosis of ILD, but limited by its high radiation ex...
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 ...
Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques.
BMC medical imaging
Aug 5, 2025
BACKGROUND: In emergency departments, residents and physicians interpret X-rays to identify fractures, with distal radius fractures being the most common in children. Skilled radiologists typically ensure accurate readings in well-resourced hospitals...
AI-driven framework for automated detection of kidney stones in CT images: integration of deep learning architectures and transformers.
Biomedical physics & engineering express
Aug 5, 2025
. Kidney stones, a prevalent urological condition, associated with acute pain requires prompt and precise diagnosis for optimal therapeutic intervention. While computed tomography (CT) imaging remains the definitive diagnostic modality, manual interp...
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...
WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules.
Scientific reports
Jul 30, 2025
Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding...
A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei.
BMC medical imaging
Jul 28, 2025
OBJECTIVE: This study aimed to develop an interpretable machine learning model integrating delayed-phase contrast-enhanced CT radiomics with clinical features for noninvasive prediction of pathological grading in appendiceal pseudomyxoma peritonei (P...
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...
ViT-GCN: a novel hybrid model for accurate pneumonia diagnosis from x-ray images.
Biomedical physics & engineering express
Jul 21, 2025
This study aims to enhance the accuracy of pneumonia diagnosis from x-ray images by developing a model that integrates Vision Transformer (ViT) and Graph Convolutional Networks (GCN) for improved feature extraction and diagnostic performance. The ViT...
Artificial intelligence in coronary angiography: benchmarking the diagnostic accuracy of ChatGPT-4o against interventional cardiologists.
Open heart
Jul 20, 2025
BACKGROUND: The integration of artificial intelligence (AI) into medical diagnostics has significantly impacted cardiology by enhancing diagnostic precision and therapeutic strategies. Coronary artery disease continues to be a leading cause of global...
Benchmarking
Coronary Vessels
Cardiologists
Male
Female
Predictive Value of Tests
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Humans
Coronary Angiography
Generative Artificial Intelligence
Coronary Artery Disease
Aged
Artificial Intelligence
Retrospective Studies
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