AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 31 to 40 of 4772 articles

Fully automated workflow for designing patient-specific orthopaedic implants: Application to total knee arthroplasty.

PloS one Jun 25, 2025
Background Osteoarthritis affects about 528 million people worldwide, causing pain and stiffness in the joints. Arthroplasty is commonly performed to treat joint osteoarthritis, reducing pain and improving mobility. Nevertheless, a significant share ...
Neural Networks, Computer Tomography, X-Ray Computed Female Humans Tibia Femur Workflow Knee Prosthesis Prosthesis Design Arthroplasty, Replacement, Knee
View on PubMed DOI

Comprehensive predictive modeling in subarachnoid hemorrhage: integrating radiomics and clinical variables.

Neurosurgical review Jun 24, 2025
Subarachnoid hemorrhage (SAH) is a severe condition with high morbidity and long-term neurological consequences. Radiomics, by extracting quantitative features from Computed Tomograhpy (CT) scans, may reveal imaging biomarkers predictive of outcomes....
Female Aged Adult Machine Learning Prognosis Tomography, X-Ray Computed Predictive Value of Tests Hydrocephalus Subarachnoid Hemorrhage Radiomics Male Middle Aged Humans Vasospasm, Intracranial Glasgow Outcome Scale
View on PubMed DOI

[Incidental pulmonary nodules on CT imaging: what to do?].

Nederlands tijdschrift voor geneeskunde Jun 23, 2025
Incidental pulmonary nodules are very frequently found on CT imaging and may represent (early stage) lung cancers without any signs or symptoms. These incidental findings can be solid lesions or ground glass lesions that may be solitary or multiple. ...
Solitary Pulmonary Nodule Incidental Findings Aged Male Middle Aged Lung Neoplasms Adenocarcinoma Humans Multiple Pulmonary Nodules Tomography, X-Ray Computed Female
View on PubMed

Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines.

European radiology experimental Jun 19, 2025
BACKGROUND: To evaluate the impact of an annotation guideline on the performance of large language models (LLMs) in extracting data from stroke computed tomography (CT) reports.
Data Mining Humans Tomography, X-Ray Computed Stroke
View on PubMed DOI

Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features.

Journal of cancer research and clinical oncology Jun 17, 2025
BACKGROUND: With the improvement of imaging, the screening rate of Pulmonary nodules (PNs) has further increased, but their identification of High-Risk Prognostic Pathological Components (HRPPC) is still a major challenge. In this study, we aimed to ...
Female Aged Lung Neoplasms Biomarkers, Tumor Adult Humans Multiple Pulmonary Nodules Prognosis Male Solitary Pulmonary Nodule Machine Learning Retrospective Studies Middle Aged Tomography, X-Ray Computed
View on PubMed DOI

Quasi-supervised MR-CT image conversion based on unpaired data.

Physics in medicine and biology Jun 17, 2025
. In radiotherapy planning, acquiring both magnetic resonance (MR) and computed tomography (CT) images is crucial for comprehensive evaluation and treatment. However, simultaneous acquisition of MR and CT images is time-consuming, economically expens...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Supervised Machine Learning Humans Algorithms Tomography, X-Ray Computed
View on PubMed DOI

Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma.

Journal of cancer research and clinical oncology Jun 12, 2025
PURPOSE: This study aimed to evaluate radiomic models' ability to predict hypoxia-related biomarker expression in clear cell renal cell carcinoma (ccRCC).
Biomarkers, Tumor Male Middle Aged Kidney Neoplasms Carcinoma, Renal Cell Tomography, X-Ray Computed Female Aged Humans
View on PubMed DOI

The performance of artificial intelligence in image-based prediction of hematoma enlargement: a systematic review and meta-analysis.

Annals of medicine Jun 11, 2025
BACKGROUND: Accurately predicting hematoma enlargement (HE) is crucial for improving the prognosis of patients with cerebral haemorrhage. Artificial intelligence (AI) is a potentially reliable assistant for medical image recognition. This study syste...
Humans Sensitivity and Specificity Artificial Intelligence Cerebral Hemorrhage Prognosis Hematoma Tomography, X-Ray Computed
View on PubMed DOI

Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report.

Journal of medical Internet research Jun 11, 2025
BACKGROUND: The rapid advancements in natural language processing, particularly the development of large language models (LLMs), have opened new avenues for managing complex clinical text data. However, the inherent complexity and specificity of medi...
Natural Language Processing Tomography, X-Ray Computed Lung Diseases Humans Deep Learning Large Language Models Retrospective Studies Lung Neoplasms
View on PubMed DOI

Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging.

PloS one Jun 11, 2025
Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients' survival outcomes. In this paper, we propose to employ convolutional neural networks to model the non-linear relationship bet...
Lung Neoplasms Proportional Hazards Models Humans Female Neural Networks, Computer Male Tomography, X-Ray Computed Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals