AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

Clear Filters Showing 491 to 500 of 1290 articles

Assessing the Effects of Deep Learning Reconstruction on Abdominal CT Without Arm Elevation.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Apr 11, 2023
To evaluate the effects of deep learning reconstruction (DLR) on image quality of abdominal computed tomography (CT) in patients without arm elevation compared with hybrid-iterative reconstruction (Hybrid-IR) and filtered back projection (FBP). In ...
Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Arm Radiation Dosage Algorithms Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI

Developing deep learning methods for classification of teeth in dental panoramic radiography.

Oral surgery, oral medicine, oral pathology and oral radiology Mar 30, 2023
OBJECTIVES: We aimed to develop an artificial intelligence-based clinical dental decision-support system using deep-learning methods to reduce diagnostic interpretation error and time and increase the effectiveness of dental treatment and classificat...
Decision Support Systems, Clinical Female Tooth, Impacted Radiography, Panoramic Humans Male Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Deep Learning Retrospective Studies
View on PubMed DOI

Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers.

European radiology Mar 28, 2023
OBJECTIVES: To evaluate image quality, diagnostic acceptability, and lesion conspicuity in abdominal dual-energy CT (DECT) using deep learning image reconstruction (DLIR) compared to those using adaptive statistical iterative reconstruction-V (Asir-V...
Humans Deep Learning Algorithms Radiographic Image Interpretation, Computer-Assisted Prospective Studies Image Processing, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed
View on PubMed DOI

A Characterization of Deep Learning Reconstruction Applied to Dual-Energy Computed Tomography Monochromatic and Material Basis Images.

Journal of computer assisted tomography Mar 22, 2023
OBJECTIVE: Advancements in computed tomography (CT) reconstruction have enabled image quality improvements and dose reductions. Previous advancements have included iterative and model-based reconstruction. The latest image reconstruction advancement ...
Quality Improvement Radiation Dosage Algorithms Phantoms, Imaging Tomography, X-Ray Computed Humans Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method.

Journal of digital imaging Mar 21, 2023
The purpose is to evaluate whether deep learning-based denoising (DLD) algorithm provides sufficient image quality for abdominal computed tomography (CT) with a 30% reduction in radiation dose, compared to standard-dose CT reconstructed with conventi...
Drug Tapering Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed
View on PubMed DOI

Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study.

European radiology Mar 18, 2023
OBJECTIVE: To investigate the image quality and lesion conspicuity of a deep-learning-based contrast-boosting (DL-CB) algorithm on double-low-dose (DLD) CT of simultaneous reduction of radiation and contrast doses in participants at high-risk for hep...
Humans Algorithms Deep Learning Liver Neoplasms Prospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Carcinoma, Hepatocellular Radiation Dosage Contrast Media Double-Blind Method
View on PubMed DOI

Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists Mar 16, 2023
PURPOSE: This study aimed to develop a deep learning model for predicting distal aortic remodeling after proximal thoracic endovascular aortic repair (TEVAR) in patients with Stanford type B aortic dissection (TBAD) using computed tomography angiogra...
Endovascular Aneurysm Repair Aortic Dissection Retrospective Studies Aortic Aneurysm, Thoracic Female Blood Vessel Prosthesis Implantation Risk Factors Computed Tomography Angiography Predictive Value of Tests Male Aortography Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Middle Aged Endovascular Procedures Aorta, Thoracic Time Factors Aged Decision Support Techniques Vascular Remodeling Treatment Outcome Adult
View on PubMed DOI

Preciseness of artificial intelligence for lateral cephalometric measurements.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie Mar 9, 2023
BACKGROUND: The aim of the study was to assess the accuracy and efficiency of a new artificial intelligence (AI) method in performing lateral cephalometric radiographic measurements.
Software Algorithms Reproducibility of Results Sensitivity and Specificity Humans Artificial Intelligence Pattern Recognition, Automated Anatomic Landmarks Cephalometry Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact.

Radiology Mar 7, 2023
Background Automated interpretation of normal chest radiographs could alleviate the workload of radiologists. However, the performance of such an artificial intelligence (AI) tool compared with clinical radiology reports has not been established. Pur...
Humans Artificial Intelligence Retrospective Studies Radiologists Radiographic Image Interpretation, Computer-Assisted Female Radiography, Thoracic Aged Adult
View on PubMed DOI

Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography.

Journal of computer assisted tomography Mar 3, 2023
OBJECTIVE: This study aimed to investigate the impact of deep-learning reconstruction (DLR) on the detailed evaluation of solitary lung nodule using high-resolution computed tomography (HRCT) compared with hybrid iterative reconstruction (hybrid IR).
Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Middle Aged Algorithms Lung Humans Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Male
View on PubMed DOI
Popular Topics
Recent Journals