AIMC Topic: Tomography, X-Ray Computed
Clear Filters Showing 1 to 10 of 4877 articles
A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease.
Lipids in health and disease
Aug 29, 2025
BACKGROUND: Kidney stone disease (KSD) is a growing global health concern, with obesity (OB) as a major risk factor linked to metabolic dysfunction and chronic inflammation. Although the common method for evaluating OB is body mass index (BMI), it is...
A simple and effective approach for body part recognition on CT scans based on projection estimation.
Scientific reports
Aug 28, 2025
It is well known that machine learning models require a high amount of annotated data to obtain optimal performance. Labelling Computed Tomography (CT) data can be a particularly challenging task due to its volumetric nature and often missing and/or ...
Dual-model approach for accurate chest disease detection using GViT and swin transformer V2.
Scientific reports
Aug 28, 2025
The precise detection and localization of abnormalities in radiological images are very crucial for clinical diagnosis and treatment planning. To build reliable models, large and annotated datasets are required that contain disease labels and abnorma...
Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study.
JMIR medical informatics
Aug 28, 2025
BACKGROUND: Recent advances in large language models have highlighted the need for high-quality multilingual medical datasets. Although Japan is a global leader in computed tomography (CT) scanner deployment and use, the absence of large-scale Japane...
Deep learning for classifying imaging patterns of interstitial lung disease associated with idiopathic inflammatory myopathies.
Scientific reports
Aug 27, 2025
Diagnosing and classifying the imaging patterns of idiopathic inflammatory myopathies-associated interstitial lung disease (IIM-ILD) is a crucial but challenging task requiring specialized physicians' expertise. This study aims to develop and validat...
Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT.
Stroke and vascular neurology
Aug 26, 2025
BACKGROUND: CT is commonly used to image patients with ischaemic stroke but radiologist interpretation may be delayed. Machine learning techniques can provide rapid automated CT assessment but are usually developed from annotated images which necessa...
NLSTseg: A Pixel-level Lung Cancer Dataset Based on NLST LDCT Images.
Scientific data
Aug 23, 2025
Low-dose computed tomography (LDCT) is the most effective tools for early detection of lung cancer. With advancements in artificial intelligence, various Computer-Aided Diagnosis (CAD) systems are now supported in clinical practice. For radiologists ...
TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction.
PloS one
Aug 22, 2025
OBJECTIVES: Computed tomography (CT) provides high spatial-resolution visualization of 3D structures for various applications. Traditional analytical/iterative CT reconstruction algorithms require hundreds of angular samplings, a condition may not be...
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer.
Cancer imaging : the official publication of the International Cancer Imaging Society
Aug 21, 2025
BACKGROUND: Accurate preoperative assessment of occult lymph node metastasis (OLNM) plays a crucial role in informing therapeutic decision-making for lung cancer patients. Computed tomography (CT) is the most widely used imaging modality for preopera...
Machine learning-assisted radiogenomic analysis for miR-15a expression prediction in renal cell carcinoma.
BMC cancer
Aug 20, 2025
BACKGROUND: Renal cell carcinoma (RCC) is a prevalent malignancy with highly variable outcomes. MicroRNA-15a (miR-15a) has emerged as a promising prognostic biomarker in RCC, linked to angiogenesis, apoptosis, and proliferation. Radiogenomics integra...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32121
- Neural Networks, Computer 30269
- Algorithms 27470
- Deep Learning 26967
- Artificial Intelligence 24893
- Robotics 13400
- Image Processing, Computer-Assisted 9754
- Retrospective Studies 9375
- Magnetic Resonance Imaging 6360
- Reproducibility of Results 5676
- Tomography, X-Ray Computed 4877
- Support Vector Machine 4777
- Computational Biology 4349
- Brain 4136
- Computer Simulation 3939
Recent Journals
- Scientific reports 6954
- Sensors (Basel, Switzerland) 4794
- PloS one 4240
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1186
- Journal of chemical information and modeling 1076
- Nature communications 1063
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 872
- IEEE transactions on neural networks and learning systems 859