AIMC Topic: Radiographic Image Interpretation, Computer-Assisted
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Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction.
European journal of radiology
Sep 19, 2024
OBJECTIVE: To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current.
Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging.
Abdominal radiology (New York)
Sep 18, 2024
PURPOSE: Retrospectively compare image quality, radiologist diagnostic confidence, and time for images to reach PACS for contrast enhanced abdominopelvic CT examinations created on the scanner console by technologists versus those generated automatic...
Humans
Pelvis
Artificial Intelligence
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Male
Female
Quality Assurance, Health Care
Tomography, X-Ray Computed
Middle Aged
Radiology Information Systems
Aged
Contrast Media
Adult
Radiography, Abdominal
Emergency Service, Hospital
Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose.
Academic radiology
Sep 18, 2024
RATIONALE AND OBJECTIVES: Traumatic neuroradiological emergencies necessitate rapid and accurate diagnosis, often relying on computed tomography (CT). However, the associated ionizing radiation poses long-term risks. Modern artificial intelligence re...
The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs.
Journal of the American College of Radiology : JACR
Sep 17, 2024
PURPOSE: To assess the ability of the Annalise Enterprise CXR Triage Trauma (Annalise AI Pty Ltd, Sydney, NSW, Australia) artificial intelligence model to identify vertebral compression fractures on chest radiographs and its potential to address undi...
Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT.
Acta radiologica (Stockholm, Sweden : 1987)
Sep 15, 2024
BACKGROUND: Radiation dose should be as low as reasonably achievable. With the invention of photon-counting detector computed tomography (PCD-CT), the radiation dose may be considerably reduced.
Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT.
Diagnostic and interventional imaging
Sep 14, 2024
PURPOSE: The purpose of this study was to develop a radiomics-based algorithm to identify small pancreatic neuroendocrine tumors (PanNETs) on CT and evaluate its robustness across manual and automated segmentations, exploring the feasibility of autom...
Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
Journal of imaging informatics in medicine
Sep 12, 2024
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothelioma (PM) tumor delineations generated using a convolutional neural network (CNN). One hundred eighty-six CT scans from 48 PM patients were segmented...
Skeleton-guided 3D convolutional neural network for tubular structure segmentation.
International journal of computer assisted radiology and surgery
Sep 12, 2024
PURPOSE: Accurate segmentation of tubular structures is crucial for clinical diagnosis and treatment but is challenging due to their complex branching structures and volume imbalance. The purpose of this study is to propose a 3D deep learning network...
Advancements in supervised deep learning for metal artifact reduction in computed tomography: A systematic review.
European journal of radiology
Sep 7, 2024
BACKGROUND: Metallic artefacts caused by metal implants, are a common problem in computed tomography (CT) imaging, degrading image quality and diagnostic accuracy. With advancements in artificial intelligence, novel deep learning (DL)-based metal art...
Low-dose computed tomography perceptual image quality assessment.
Medical image analysis
Sep 6, 2024
In computed tomography (CT) imaging, optimizing the balance between radiation dose and image quality is crucial due to the potentially harmful effects of radiation on patients. Although subjective assessments by radiologists are considered the gold s...
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