AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Automatic detection and classification of nasopalatine duct cyst and periapical cyst on panoramic radiographs using deep convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 16, 2023
OBJECTIVE: The aim of this study was to evaluate a deep convolutional neural network (DCNN) method for the detection and classification of nasopalatine duct cysts (NPDC) and periapical cysts (PAC) on panoramic radiographs.
Humans Neural Networks, Computer Radiography, Panoramic Radiographic Image Interpretation, Computer-Assisted Radicular Cyst
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Evaluation of deep learning for detecting intraosseous jaw lesions in cone beam computed tomography volumes.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 16, 2023
OBJECTIVE: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone beam computed tomography (CBCT) volumes.
Deep Learning Radiographic Image Interpretation, Computer-Assisted Cone-Beam Computed Tomography Humans Jaw Neoplasms Predictive Value of Tests Software Jaw Diseases Algorithms Sensitivity and Specificity
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Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.

Scientific reports Oct 16, 2023
To evaluate the diagnostic performance of our deep learning (DL) model of COVID-19 and investigate whether the diagnostic performance of radiologists was improved by referring to our model. Our datasets contained chest X-rays (CXRs) for the following...
COVID-19 Computers Retrospective Studies Humans Radiologists Radiographic Image Interpretation, Computer-Assisted COVID-19 Testing Tomography, X-Ray Computed Deep Learning Pneumonia X-Rays
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Is the Juice Worth the Squeeze? Learning Curve of a Chest Radiograph Semantic Labeling Deep Learning Model.

Journal of thoracic imaging Oct 13, 2023
Semantics Learning Curve Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deep Learning Image Reconstruction Algorithm for CCTA: Image Quality Assessment and Clinical Application.

Journal of computer assisted tomography Oct 11, 2023
OBJECTIVE: The increasing number of coronary computed tomography angiography (CCTA) requests raised concerns about dose exposure. New dose reduction strategies based on artificial intelligence have been proposed to overcome limitations of iterative r...
Artificial Intelligence Algorithms Prospective Studies Humans Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Radiation Dosage Deep Learning Computed Tomography Angiography Image Processing, Computer-Assisted
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Detection of Vertebral Mass and Diagnosis of Spinal Cord Compression in Computed Tomography With Deep Learning Reconstruction: Comparison With Hybrid Iterative Reconstruction.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Oct 5, 2023
PURPOSE: To compare the impact of deep learning reconstruction (DLR) and hybrid-iterative reconstruction (hybrid-IR) on vertebral mass depiction, detection, and diagnosis of spinal cord compression on computed tomography (CT).
Spinal Neoplasms Spinal Cord Compression Aged, 80 and over Tomography, X-Ray Computed Adult Female Male Aged Middle Aged Humans Deep Learning Retrospective Studies Radiographic Image Interpretation, Computer-Assisted
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Preclinical validation of a novel deep learning-based metal artifact correction algorithm for orthopedic CT imaging.

Journal of applied clinical medical physics Oct 3, 2023
PURPOSE: To validate a novel deep learning-based metal artifact correction (MAC) algorithm for CT, namely, AI-MAC, in preclinical setting with comparison to conventional MAC and virtual monochromatic imaging (VMI) technique.
Radiographic Image Interpretation, Computer-Assisted Artifacts Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Metals Humans Algorithms Retrospective Studies
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Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.

European journal of radiology Sep 29, 2023
OBJECTIVE: To explore whether reduced-dose (RD) gemstone spectral imaging (GSI) and deep learning image reconstruction (DLIR) of 40 keV virtual monoenergetic image (VMI) enhanced the early detection and diagnosis of colorectal cancer liver metastases...
Deep Learning Aged Humans Liver Neoplasms Colorectal Neoplasms Algorithms Early Detection of Cancer Image Processing, Computer-Assisted Middle Aged Female Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic.

Acta radiologica (Stockholm, Sweden : 1987) Sep 26, 2023
BACKGROUND: There have been no reports on diagnostic performance of deep learning-based automated detection (DLAD) for thoracic diseases in real-world outpatient clinic.
Female Ambulatory Care Facilities Humans Aged Radiography, Thoracic Male Middle Aged Algorithms Retrospective Studies Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasis.

Abdominal radiology (New York) Sep 14, 2023
PURPOSE: To investigate the image quality and diagnostic performance of low-contrast-dose liver CT using a deep learning-based iodine contrast-augmenting algorithm (DLICA) for hypovascular hepatic metastases.
Humans Radiographic Image Interpretation, Computer-Assisted Deep Learning Signal-To-Noise Ratio Algorithms Iodine Radiography, Dual-Energy Scanned Projection Retrospective Studies Liver Neoplasms Tomography, X-Ray Computed
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