AIMC Topic: Tomography, X-Ray Computed

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Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sound (SOS). Although full-waveform inversion (FWI) is an effective method for accurate SOS reconstruction, it can be computationally challenging for lar...
Humans Algorithms Image Processing, Computer-Assisted Breast Phantoms, Imaging Tomography Tomography, X-Ray Computed Female Deep Learning Ultrasonography
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A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment.

The Thoracic and cardiovascular surgeon Nov 26, 2024
BACKGROUND:  Lung cancer is the most prevalent and lethal cancer globally, necessitating accurate differentiation between benign and malignant pulmonary nodules to guide treatment decisions. This study aims to develop a predictive model that integrat...
Male Middle Aged Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Neoplasm Invasiveness Predictive Value of Tests Reproducibility of Results Risk Factors Aged Biomarkers, Tumor Retrospective Studies Tomography, X-Ray Computed Female Humans Artificial Intelligence Decision Support Techniques
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A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study.

La Radiologia medica Nov 26, 2024
PURPOSE: To develop and validate deep learning (DL) models using preoperative contrast-enhanced CT images for tumor auto-segmentation and microsatellite instability (MSI) prediction in colorectal cancer (CRC).
Colorectal Neoplasms Male Middle Aged Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Contrast Media Predictive Value of Tests Microsatellite Instability Humans
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Brain CT image classification based on mask RCNN and attention mechanism.

Scientific reports Nov 26, 2024
Along with the computer application technology progress, machine learning, and block-chain techniques have been applied comprehensively in various fields. The application of machine learning, and block-chain techniques into medical image retrieval, c...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Algorithms Brain Tomography, X-Ray Computed Brain Neoplasms
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Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors.

Scientific reports Nov 26, 2024
To develop and validate a machine learning (ML) model which combined computed tomography (CT) semantic and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors (GISTs) patients. We retrospectively collected...
ROC Curve Gastrointestinal Neoplasms Semantics Gastrointestinal Stromal Tumors Humans Ki-67 Antigen Machine Learning Retrospective Studies Adult Tomography, X-Ray Computed Radiomics Female Male Aged Middle Aged
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Application of NotebookLM, a large language model with retrieval-augmented generation, for lung cancer staging.

Japanese journal of radiology Nov 25, 2024
PURPOSE: In radiology, large language models (LLMs), including ChatGPT, have recently gained attention, and their utility is being rapidly evaluated. However, concerns have emerged regarding their reliability in clinical applications due to limitatio...
Large Language Models Lung Humans Lung Neoplasms Tomography, X-Ray Computed Neoplasm Staging Reproducibility of Results Japan
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Effect of Artificial Intelligence as a Second Reader on the Lung Nodule Detection and Localization Accuracy of Radiologists and Non-radiology Physicians in Chest Radiographs: A Multicenter Reader Study.

Academic radiology Nov 25, 2024
RATIONALE AND OBJECTIVES: Missed nodules in chest radiographs (CXRs) are common occurrences. We assessed the effect of artificial intelligence (AI) as a second reader on the accuracy of radiologists and non-radiology physicians in lung nodule detecti...
Humans Artificial Intelligence Retrospective Studies Solitary Pulmonary Nodule Radiologists Radiographic Image Interpretation, Computer-Assisted Observer Variation Radiography, Thoracic Sensitivity and Specificity Male Middle Aged Lung Neoplasms Tomography, X-Ray Computed Female Reproducibility of Results Aged
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Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.

Journal of applied clinical medical physics Nov 25, 2024
BACKGROUND AND PURPOSE: Routine quality control procedures are still required for sCT based on artificial intelligence (AI) to verify the performance of the generators. The aim of this study was to evaluate three generators based on AI or bulk densit...
Artificial Intelligence Tomography, X-Ray Computed Brain Neoplasms Image Processing, Computer-Assisted Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Patient Positioning Magnetic Resonance Imaging Phantoms, Imaging Workflow Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care
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An Application of Machine-Learning-Oriented Radiomics Model in Clear Cell Renal Cell Carcinoma (ccRCC) Early Diagnosis.

British journal of hospital medicine (London, England : 2005) Nov 25, 2024
Clear cell renal cell carcinoma (ccRCC) is a common and aggressive form of kidney cancer, where early diagnosis is crucial for improving prognosis and treatment outcomes. Radiomics, which utilizes machine learning techniques, presents a promising ap...
Female Aged Radiomics Male Humans Machine Learning Tomography, X-Ray Computed Carcinoma, Renal Cell Middle Aged ROC Curve Early Detection of Cancer Kidney Neoplasms
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Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach.

The neuroradiology journal Nov 24, 2024
IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, with epidural hematoma (EDH) being a severe consequence. This study focuses on identifying factors predicting EDH volume changes in TBI patients and de...
Brain Injuries, Traumatic Hematoma, Epidural, Cranial Middle Aged Adolescent Child, Preschool Child Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Male
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