AI Medical Compendium Journal:
AJR. American journal of roentgenology

Showing 141 to 150 of 169 articles

Effect of Tube Voltage on Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography With Machine Learning: Results From the MACHINE Registry.

AJR. American journal of roentgenology Apr 30, 2019
Coronary CT angiography (CCTA)-based methods allow noninvasive estimation of fractional flow reserve (cFFR), recently through use of a machine learning (ML) algorithm (cFFR). However, attenuation values vary according to the tube voltage used, and i...
Female Aged Sensitivity and Specificity Male Humans Machine Learning Registries Retrospective Studies Coronary Disease Middle Aged Predictive Value of Tests Coronary Angiography Computed Tomography Angiography Fractional Flow Reserve, Myocardial
View on PubMed DOI

Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network.

AJR. American journal of roentgenology Jan 30, 2019
OBJECTIVE: Radiology reports are rich resources for biomedical researchers. Before utilization of radiology reports, experts must manually review these reports to identify the categories. In fact, automatically categorizing electronic medical record ...
Radiology Musculoskeletal Diseases Humans Neural Networks, Computer Electronic Health Records Artificial Intelligence Natural Language Processing Databases, Factual
View on PubMed DOI

Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning-Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status.

AJR. American journal of roentgenology Jan 2, 2019
OBJECTIVE: The purpose of this study is to evaluate the potential value of machine learning (ML)-based high-dimensional quantitative CT texture analysis in predicting the mutation status of the gene encoding the protein polybromo-1 (PBRM1) in patient...
Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Male Middle Aged Nuclear Proteins Transcription Factors Female Reproducibility of Results Aged Radiographic Image Interpretation, Computer-Assisted DNA-Binding Proteins Contrast Media Carcinoma, Renal Cell Kidney Neoplasms Predictive Value of Tests Mutation
View on PubMed DOI

Artificial Intelligence for Breast MRI in 2008-2018: A Systematic Mapping Review.

AJR. American journal of roentgenology Jan 2, 2019
OBJECTIVE: The purpose of this study is to review literature from the past decade on applications of artificial intelligence (AI) to breast MRI.
Humans Artificial Intelligence Time Factors Female Magnetic Resonance Imaging Breast Neoplasms
View on PubMed DOI

Ultra-Low-Dose Neck CT With Low-Dose Contrast Material for Preoperative Staging of Thyroid Cancer: Image Quality and Diagnostic Performance.

AJR. American journal of roentgenology Dec 17, 2018
OBJECTIVE: Although CT has been used as a complementary diagnostic method for the preoperative diagnosis of thyroid cancer, it has the shortcomings of substantial radiation exposure and the use of contrast material (CM). The purpose of this article i...
Male Iohexol Middle Aged Radiation Dosage Thyroidectomy Signal-To-Noise Ratio Humans Neoplasm Staging Female Thyroid Neoplasms Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Contrast Media Aged Tomography, X-Ray Computed Adult
View on PubMed DOI

Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers.

AJR. American journal of roentgenology Dec 17, 2018
OBJECTIVE: The purpose of this article is to highlight best practices for writing and reviewing articles on artificial intelligence for medical image analysis.
Humans Peer Review, Research Artificial Intelligence Image Processing, Computer-Assisted
View on PubMed DOI

The Doctor-Patient Relationship With Artificial Intelligence.

AJR. American journal of roentgenology Dec 12, 2018
OBJECTIVE: The doctor-patient relationship has been evolving from benevolent paternalism to a more patient-centered relationship in the modern era. Although artificial intelligence (AI) has the potential to improve nearly every aspect of health care,...
Humans Physician-Patient Relations Artificial Intelligence Breast Neoplasms Radiology
View on PubMed DOI

Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.

AJR. American journal of roentgenology Dec 12, 2018
OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) can predict the maximum standardized uptake value (SUV) of lymph nodes in patients with cancer using the unenhanced CT images from a PET/CT examination,...
Proof of Concept Study Positron Emission Tomography Computed Tomography Radiopharmaceuticals Imaging, Three-Dimensional Fluorodeoxyglucose F18 Tomography, X-Ray Computed Lymphatic Metastasis Aged Predictive Value of Tests Aged, 80 and over Humans Young Adult Middle Aged Neural Networks, Computer Adult Neoplasms Retrospective Studies
View on PubMed DOI

Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography.

AJR. American journal of roentgenology Nov 26, 2018
OBJECTIVE: The purpose of this study was to evaluate improvement of convolutional neural network detection of high-grade small-bowel obstruction on conventional radiographs with increased training set size.
Radiography Humans Intestinal Obstruction Neural Networks, Computer Intestine, Small Aged Middle Aged Adult Retrospective Studies Aged, 80 and over Female Adolescent Male Young Adult
View on PubMed DOI

Artificial Intelligence in Breast Imaging: Potentials and Limitations.

AJR. American journal of roentgenology Nov 13, 2018
OBJECTIVE: The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption.
Breast Neoplasms Humans Artificial Intelligence Diagnostic Imaging Female
View on PubMed DOI
Popular Topics
Popular Journals