AIMC Topic: Tomography, X-Ray Computed

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Inconsistency of AI in intracranial aneurysm detection with varying dose and image reconstruction.

Scientific reports Jun 6, 2025
Scanner-related changes in data quality are common in medical imaging, yet monitoring their impact on diagnostic AI performance remains challenging. In this study, we performed standardized consistency testing of an FDA-cleared and CE-marked AI for t...
Phantoms, Imaging Tomography, X-Ray Computed Humans Intracranial Aneurysm Image Processing, Computer-Assisted Artificial Intelligence Radiation Dosage
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StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BMC medical imaging Jun 5, 2025
BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. Timely detection can reduce its impact. Machine learning delivers powerful tools for image‑based diagnosis. This study introduces StrokeNeXt, a lightwe...
Magnetic Resonance Imaging Algorithms Humans Stroke Neural Networks, Computer Tomography, X-Ray Computed Machine Learning
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Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning.

Scientific reports Jun 5, 2025
The pancreas is a gland in the abdomen that helps to produce hormones and digest food. The irregular development of tissues in the pancreas is termed as pancreatic cancer. Identification of pancreatic tumors early is significant for enhancing surviva...
Humans Image Processing, Computer-Assisted Algorithms Pancreatic Neoplasms Tomography, X-Ray Computed Deep Learning
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Deep learning based rapid X-ray fluorescence signal extraction and image reconstruction for preclinical benchtop X-ray fluorescence computed tomography applications.

Scientific reports Jun 4, 2025
Recent research advances have resulted in an experimental benchtop X-ray fluorescence computed tomography (XFCT) system that likely meets the imaging dose/scan time constraints for benchtop XFCT imaging of live mice injected with gold nanoparticles (...
Gold Metal Nanoparticles Phantoms, Imaging Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Animals Mice
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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision.

Scientific reports Jun 4, 2025
Craniofacial morphometrics in sharks provide crucial insights into evolutionary history, geographical variation, sexual dimorphism, and developmental patterns. However, the fragile cartilaginous nature of shark craniofacial skeleton poses significant...
Artificial Intelligence Software Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Animals Skull Female Male Sharks Imaging, Three-Dimensional
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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Algorithms
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Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the use of smoother reconstruction kernels that reduce resolution below the 0.125-mm maximum spatial re...
Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Humans Neural Networks, Computer Tomography, X-Ray Computed Photons Temporal Bone
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Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients.

BMC medicine Jun 2, 2025
BACKGROUND: Preoperative diagnosis of muscle invasion and American Joint Committee on Cancer (AJCC) stage plays a crucial role in guiding treatment strategies for bladder cancer (BCa). Utilizing quantitative analysis of tumor subregions via CT imagin...
Urinary Bladder Neoplasms Unsupervised Machine Learning Neoplasm Staging Middle Aged Risk Assessment Retrospective Studies Tomography, X-Ray Computed Female Aged Male Humans
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NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

Journal for immunotherapy of cancer May 31, 2025
BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete response after neoadjuvant chemo-immunotherapy remains a critical unmet need in resectable non-small-cell lung cancer (NSCLC). Conventional size-base...
Aged Adult Male Tomography, X-Ray Computed Female Treatment Outcome Humans Middle Aged Neoadjuvant Therapy Retrospective Studies Lung Neoplasms Carcinoma, Non-Small-Cell Lung Immunotherapy
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Multi-spatial-attention U-Net: a novel framework for automated gallbladder segmentation on CT images.

BMC medical imaging May 30, 2025
OBJECTIVE: This study aimed to construct a novel model, Multi-Spatial Attention U-Net (MSAU-Net) by incorporating our proposed Multi-Spatial Attention (MSA) block into the U-Net for the automated segmentation of the gallbladder on CT images.
Tomography, X-Ray Computed Humans Gallbladder Algorithms Liver Neoplasms Retrospective Studies Radiographic Image Interpretation, Computer-Assisted
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