AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Contrast-enhanced thin-slice abdominal CT with super-resolution deep learning reconstruction technique: evaluation of image quality and visibility of anatomical structures.

Japanese journal of radiology Nov 14, 2024
PURPOSE: To compare image quality and visibility of anatomical structures on contrast-enhanced thin-slice abdominal CT images reconstructed using super-resolution deep learning reconstruction (SR-DLR), deep learning-based reconstruction (DLR), and hy...
Middle Aged Deep Learning Contrast Media Radiographic Image Interpretation, Computer-Assisted Radiographic Image Enhancement Radiography, Abdominal Female Humans Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Adult Male
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Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

Journal of applied clinical medical physics Nov 14, 2024
OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam computed tomography (kV-FBCT) image enhancement algorithm for clinical application in abdominal and pelvic tumor radiotherapy.
Radiotherapy Planning, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Pelvic Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Abdominal Neoplasms Radiotherapy, Image-Guided Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Organs at Risk Tomography, X-Ray Computed Female Male Deep Learning Humans Radiographic Image Enhancement Algorithms Prospective Studies
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Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment.

Academic radiology Nov 13, 2024
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in aortic computed tomography angiography (CTA) through the application of low tube voltage (60kVp) and a novel deep learning image reconstruction algorit...
Male Computed Tomography Angiography Middle Aged Humans Feasibility Studies Aortography Deep Learning Algorithms Radiation Dosage Contrast Media Prospective Studies Aorta Radiographic Image Interpretation, Computer-Assisted Female Phantoms, Imaging Aged
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Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology.

Minerva cardiology and angiology Nov 13, 2024
The chest X-ray (CXR) has a wide range of clinical indications in the field of cardiology, from the assessment of acute pathology to disease surveillance and screening. Despite many technological advancements, CXR interpretation error rates have rema...
Cardiology Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Heart Diseases Radiography, Thoracic Machine Learning Clinical Decision-Making
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Diagnostic performance of an artificial intelligence model for the detection of pneumothorax at chest X-ray.

Clinical imaging Nov 12, 2024
PURPOSE: Pneumothorax (PTX) is a common clinical urgency, its diagnosis is usually performed on chest radiography (CXR), and it presents a setting where artificial intelligence (AI) methods could find terrain in aiding radiologists in facing increasi...
Young Adult Adult Female Middle Aged Sensitivity and Specificity Humans Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Male Artificial Intelligence Aged Radiography, Thoracic Retrospective Studies Aged, 80 and over Pneumothorax Tomography, X-Ray Computed
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Deep learning segmentation-based bone removal from computed tomography of the brain improves subdural hematoma detection.

Journal of neuroradiology = Journal de neuroradiologie Nov 8, 2024
PURPOSE: Timely identification of intracranial blood products is clinically impactful, however the detection of subdural hematoma (SDH) on non-contrast CT scans of the head (NCCTH) is challenging given interference from the adjacent calvarium. This w...
Female Male Deep Learning Radiographic Image Interpretation, Computer-Assisted Skull Hematoma, Subdural Humans Algorithms Tomography, X-Ray Computed
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Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

The international journal of cardiovascular imaging Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Risk Factors Aged Male Middle Aged Risk Assessment Prospective Studies Clinical Decision-Making Female Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Acute Coronary Syndrome Computed Tomography Angiography Non-ST Elevated Myocardial Infarction Predictive Value of Tests Double-Blind Method Coronary Angiography Humans Artificial Intelligence Decision Support Techniques
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Evaluating the Efficacy of Deep Learning Reconstruction in Reducing Radiation Dose for Computer-Aided Volumetry for Liver Tumor: A Phantom Study.

Journal of computer assisted tomography Nov 5, 2024
OBJECTIVE: The purpose of this study was to compare radiation dose reduction capability for accurate liver tumor measurements of a computer-aided volumetry (CAD v ) software for filtered back projection (FBP), hybrid-type iterative reconstruction (IR...
Humans Tomography, X-Ray Computed Radiation Dosage Signal-To-Noise Ratio Deep Learning Phantoms, Imaging Liver Neoplasms Liver Radiographic Image Interpretation, Computer-Assisted
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Combination of Deep Learning Grad-CAM and Radiomics for Automatic Localization and Diagnosis of Architectural Distortion on DBT.

Academic radiology Nov 3, 2024
RATIONALE AND OBJECTIVES: Detection and diagnosis of architectural distortion (AD) on digital breast tomosynthesis (DBT) is challenging. This study applied artificial intelligence (AI) using deep learning (DL) algorithms to detect AD, followed by rad...
Deep Learning Mammography Radiographic Image Interpretation, Computer-Assisted Algorithms Retrospective Studies Adult Humans Female Sensitivity and Specificity Aged Breast Neoplasms Radiomics Middle Aged
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Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer.

Journal of imaging informatics in medicine Oct 31, 2024
Early screening is crucial in reducing the mortality of colorectal cancer (CRC). Current screening methods, including fecal occult blood tests (FOBT) and colonoscopy, are primarily limited by low patient compliance and the invasive nature of the proc...
Algorithms Retrospective Studies Female Aged Sensitivity and Specificity Early Detection of Cancer Male Humans Radiographic Image Interpretation, Computer-Assisted Middle Aged Colonic Neoplasms Deep Learning Urinary Bladder Kidney Ureter
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