AIMC Topic: Tomography, X-Ray Computed

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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging.

Scientific reports Jul 7, 2025
Lung and colon cancers (LCC) are among the foremost reasons for human death and disease. Early analysis of this disorder contains various tests, namely ultrasound (US), magnetic resonance imaging (MRI), and computed tomography (CT). Despite analytica...
Humans Artificial Intelligence Ultrasonography Lung Neoplasms Magnetic Resonance Imaging Colonic Neoplasms Algorithms Tomography, X-Ray Computed Deep Learning
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Imaging and pulmonary function techniques in ARDS diagnosis and management: current insights and challenges.

Critical care (London, England) Jul 6, 2025
Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute onset of respiratory failure, which presents significant challenges in diagnosis and management. Its heterogeneity, with diverse underlying aetiologies ...
Disease Management Respiratory Function Tests Humans Tomography, X-Ray Computed Lung Respiratory Distress Syndrome
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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...
Humans Machine Learning Retrospective Studies Treatment Outcome Sarcopenia Infliximab Radiomics Tomography, X-Ray Computed Psoas Muscles Male Female Middle Aged Crohn Disease Adult ROC Curve Gastrointestinal Agents
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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...
Cross-Sectional Studies Male Echocardiography China Female Aged Aged, 80 and over Early Warning Score Multicenter Studies as Topic Exercise Test Lung Diseases Prospective Studies Tomography, X-Ray Computed Humans
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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...
Humans Machine Learning Female Aged Retrospective Studies Middle Aged Ureteral Calculi Adult Tomography, X-Ray Computed Lithotripsy Treatment Outcome Radiomics Male
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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...
Psoas Muscles Humans Tomography, X-Ray Computed Female Organs at Risk Radiotherapy Planning, Computer-Assisted Uterine Cervical Neoplasms Deep Learning
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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...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Female Breast Neoplasms Humans Neural Networks, Computer
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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 ...
Tomography, X-Ray Computed Female Aged Radiomics Machine Learning COVID-19 Retrospective Studies Cohort Studies Predictive Value of Tests Pulmonary Fibrosis Male Humans Middle Aged Lung
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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...
Federated Learning Humans Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Privacy Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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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...
Middle Aged Female Humans Lung Cysts Retrospective Studies Deep Learning Aged Lung Neoplasms Tomography, X-Ray Computed Male Radiographic Image Interpretation, Computer-Assisted
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