AIMC Topic: Tomography, X-Ray Computed

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Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn's disease.

Annals of medicine Jul 5, 2025
BACKGROUND: Crohn's disease (CD) is a chronic inflammatory bowel disease, with infliximab (IFX) commonly used for treatment. However, no clinically applicable model currently exists to predict the response of patients with CD to IFX therapy. Given th...
Female Adult Radiomics Male Machine Learning Retrospective Studies Tomography, X-Ray Computed Infliximab Crohn Disease Gastrointestinal Agents Psoas Muscles Middle Aged ROC Curve Treatment Outcome Sarcopenia Humans
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Early warning and stratification of the elderly cardiopulmonary dysfunction-related diseases: multicentre prospective study protocol.

BMJ open Jul 5, 2025
INTRODUCTION: In China, there is a lack of standardised clinical imaging databases for multidimensional evaluation of cardiopulmonary diseases. To address this gap, this study protocol launched a project to build a clinical imaging technology integra...
Humans Echocardiography Exercise Test China Multicenter Studies as Topic Prospective Studies Lung Diseases Aged Tomography, X-Ray Computed Early Warning Score Aged, 80 and over Female Cross-Sectional Studies Male
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Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach.

BMC medical imaging Jul 4, 2025
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model that integrates radiomics and conventional radiological features to predict the success of single-session extracorporeal shock wave lithotripsy (ESWL) for ureteral sto...
Middle Aged Treatment Outcome Ureteral Calculi Lithotripsy Aged Adult Radiomics Male Retrospective Studies Tomography, X-Ray Computed Female Humans Machine Learning
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Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer.

Scientific reports Jul 4, 2025
Deep learning has been used for automatic planning of radiotherapy targets, such as inferring the clinical target volume (CTV) for a given new patient. However, previous deep learning methods mainly focus on predicting CTV from CT images without cons...
Radiotherapy Planning, Computer-Assisted Psoas Muscles Uterine Cervical Neoplasms Deep Learning Organs at Risk Humans Tomography, X-Ray Computed Female
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Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2.

Scientific reports Jul 4, 2025
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. While methods like DI...
Humans Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Female Breast Neoplasms Deep Learning
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Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.

Respiratory research Jul 2, 2025
BACKGROUND: The lack of reliable biomarkers for the early detection and risk stratification of post-COVID-19 pulmonary fibrosis (PCPF) underscores the urgency advanced predictive tools. This study aimed to develop a machine learning-based predictive ...
Retrospective Studies Tomography, X-Ray Computed Female Aged Radiomics Male Middle Aged Humans Machine Learning COVID-19 Pulmonary Fibrosis Lung Cohort Studies Predictive Value of Tests
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

Scientific reports Jul 2, 2025
The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, comp...
Tomography, X-Ray Computed Humans Privacy Brain Neoplasms Neural Networks, Computer Federated Learning Algorithms Deep Learning Image Processing, Computer-Assisted
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A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces.

Scientific reports Jul 2, 2025
To propose a deep learning model and explore its performance in the auxiliary diagnosis of lung cancer associated with cystic airspaces (LCCA) in computed tomography (CT) images. This study is a retrospective analysis that incorporated a total of 342...
Lung Deep Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Cysts Female Humans Aged Retrospective Studies Male Tomography, X-Ray Computed Middle Aged
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Scientific reports Jul 2, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the ...
Lung Humans Lung Neoplasms Neural Networks, Computer Artificial Intelligence Early Detection of Cancer Genetic Algorithms Algorithms Tomography, X-Ray Computed
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network.

Scientific reports Jul 2, 2025
This study investigates a deep learning approach for sex estimation using 3D hyoid bone models derived from computed tomography (CT) scans of a Croatian population. We analyzed 202 hyoid samples (101 male, 101 female), converting CT-derived meshes in...
Hyoid Bone Male Middle Aged Croatia Deep Learning Sex Characteristics Imaging, Three-Dimensional Sex Determination by Skeleton Humans Tomography, X-Ray Computed Female Adult
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