AI Medical Compendium Journal:
AJR. American journal of roentgenology

Showing 111 to 120 of 169 articles

Recurrent Hemoptysis After Bronchial Artery Embolization: Prediction Using a Nomogram and Artificial Neural Network Model.

AJR. American journal of roentgenology Oct 14, 2020
The purpose of this study was to develop an effective nomogram and artificial neural network (ANN) model for predicting recurrent hemoptysis after bronchial artery embolization (BAE). The institutional ethics review boards of the two participating ...
Female Aged Male Humans Neural Networks, Computer Retrospective Studies Recurrence Bronchial Arteries Hemoptysis Middle Aged Nomograms Embolization, Therapeutic
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Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.

AJR. American journal of roentgenology Oct 14, 2020
The objective of our study was to assess the effect of the combination of deep learning-based denoising (DLD) and iterative reconstruction (IR) on image quality and Lung Imaging Reporting and Data System (Lung-RADS) evaluation on chest ultra-low-dos...
Humans Middle Aged Aged Deep Learning Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Lung Neoplasms Adult Tomography, X-Ray Computed Artifacts Radiography, Thoracic Male Female
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Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.

AJR. American journal of roentgenology Oct 14, 2020
Deep learning (DL) image reconstruction has the potential to disrupt the current state of MRI by significantly decreasing the time required for MRI examinations. Our goal was to use DL to accelerate MRI to allow a 5-minute comprehensive examination ...
Aged, 80 and over Adult Male Middle Aged Humans Female Magnetic Resonance Imaging Signal-To-Noise Ratio Aged Deep Learning Knee Joint Adolescent Image Processing, Computer-Assisted Knee Injuries
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Editorial Comment on "Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard".

AJR. American journal of roentgenology Sep 30, 2020
Deep Learning Humans Fatty Liver Tomography, X-Ray Computed Reference Standards Adult
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Artificial Intelligence in Renal Mass Characterization: A Systematic Review of Methodologic Items Related to Modeling, Performance Evaluation, Clinical Utility, and Transparency.

AJR. American journal of roentgenology Sep 22, 2020
The objective of our study was to systematically review the literature about the application of artificial intelligence (AI) to renal mass characterization with a focus on the methodologic quality items. A systematic literature search was conducted...
Kidney Diseases Artificial Intelligence Reproducibility of Results Models, Theoretical Humans
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Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma.

AJR. American journal of roentgenology Sep 15, 2020
This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell carcinoma (OSCC) and moderately or poorly differentiated OSCC. The study enrolled ...
Retrospective Studies Female Carcinoma, Squamous Cell Adult Male Aged Young Adult Humans Machine Learning Predictive Value of Tests Mouth Neoplasms Neoplasm Grading Middle Aged Magnetic Resonance Imaging Diagnosis, Differential
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Editorial Comment on "Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement".

AJR. American journal of roentgenology Sep 9, 2020
Artificial Intelligence Prospective Studies Magnetic Resonance Imaging Humans Image Enhancement
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Artificial Intelligence Predictive Analytics in the Management of Outpatient MRI Appointment No-Shows.

AJR. American journal of roentgenology Sep 9, 2020
Outpatient appointment no-shows are a common problem. Artificial intelligence predictive analytics can potentially facilitate targeted interventions to improve efficiency. We describe a quality improvement project that uses machine learning techniqu...
Male Middle Aged Adolescent Ambulatory Care No-Show Patients Child Magnetic Resonance Imaging Machine Learning Aged, 80 and over Forecasting Young Adult Adult Humans Prospective Studies Female Aged
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Machine Learning in Radiomic Renal Mass Characterization: Fundamentals, Applications, Challenges, and Future Directions.

AJR. American journal of roentgenology Aug 12, 2020
The purpose of this study is to provide an overview of the traditional machine learning (ML)-based and deep learning-based radiomic approaches, with focus placed on renal mass characterization. ML currently has a very low barrier to entry into gene...
Magnetic Resonance Imaging Humans Kidney Neoplasms Machine Learning Tomography, X-Ray Computed
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Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.

AJR. American journal of roentgenology Aug 5, 2020
The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial intelligence (AI) detection system with attention mapping compared with multiparametric MRI (mpMRI) interpretation in the detection of prostate cance...
Artificial Intelligence Observer Variation Humans Diagnosis, Computer-Assisted Algorithms Random Allocation Aged Adenocarcinoma Retrospective Studies Multiparametric Magnetic Resonance Imaging Sensitivity and Specificity Prostatic Neoplasms Male Middle Aged
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