AI Medical Compendium Journal:
AJR. American journal of roentgenology

Showing 121 to 130 of 169 articles

Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.

AJR. American journal of roentgenology Jul 29, 2020
The purpose of this study was to assess the value of radiomics features for differentiating soft tissue sarcomas (STSs) of different histopathologic grades. The T1-weighted and fat-suppressed T2-weighted MR images of 70 STSs of varying grades (35 l...
Machine Learning Retrospective Studies Female Aged Humans Magnetic Resonance Imaging Predictive Value of Tests Neoplasm Grading Sarcoma Soft Tissue Neoplasms Adult Male Middle Aged ROC Curve
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Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

AJR. American journal of roentgenology Apr 29, 2020
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET, the utility of deep machine learning with a convolutional neural network (CNN) in predicting the potential of newly diagnosed non-small cell lung can...
Radiopharmaceuticals Neoplasm Metastasis Fluorodeoxyglucose F18 Male Middle Aged Imaging, Three-Dimensional Lung Neoplasms Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis Predictive Value of Tests Positron Emission Tomography Computed Tomography Aged Aged, 80 and over Adult Sensitivity and Specificity Humans Neural Networks, Computer Retrospective Studies Female
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Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

AJR. American journal of roentgenology Apr 22, 2020
The objective of this study was to assess the impact of artificial intelligence (AI)-based decision support (DS) on breast ultrasound (US) lesion assessment. A multicenter retrospective review of 900 breast lesions (470/900 [52.2%] benign; 430/900 ...
Artificial Intelligence Decision Support Techniques Retrospective Studies Female Humans Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Adolescent Aged Aged, 80 and over Adult Sensitivity and Specificity Biopsy Ultrasonography, Mammary
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Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience.

AJR. American journal of roentgenology Apr 14, 2020
The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic CT of the abdomen. Retrospective review (April-May 2019) of the cases of adults...
Radiation Dosage Adult Radiography, Abdominal Male Digestive System Neoplasms Middle Aged Deep Learning Tomography, X-Ray Computed Thoracic Neoplasms Humans Female Contrast Media Retrospective Studies Aged Radiographic Image Interpretation, Computer-Assisted Iohexol Aged, 80 and over
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Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula.

AJR. American journal of roentgenology Mar 24, 2020
The purposes of this study were to assess the performance of a 3D convolutional neural network (CNN) for automatic segmentation of prostates on MR images and to compare the volume estimates from the 3D CNN with those of the ellipsoid formula. The s...
Magnetic Resonance Imaging Prostatic Neoplasms Image Interpretation, Computer-Assisted Neural Networks, Computer Retrospective Studies Male Imaging, Three-Dimensional Humans
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Interpretable Artificial Intelligence: Why and When.

AJR. American journal of roentgenology Mar 4, 2020
The purpose of this article is to discuss the problem of interpretability of artificial intelligence (AI) and highlight the need for continuing scientific discovery using AI algorithms to deal with medical big data. A plethora of AI algorithms are ...
Humans Artificial Intelligence Machine Learning Clinical Decision-Making Biomedical Research Deep Learning Big Data Radiology
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Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing.

AJR. American journal of roentgenology Mar 4, 2020
The purpose of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm for fully automated quantification of emphysema on chest CT compared with pulmonary function testing (spirometry). A total of 141 patients (72 women...
Artificial Intelligence Aged Humans Retrospective Studies Aged, 80 and over Middle Aged Tomography, X-Ray Computed Adult Radiographic Image Interpretation, Computer-Assisted Female Male Pulmonary Emphysema Respiratory Function Tests
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Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.

AJR. American journal of roentgenology Jan 22, 2020
The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative reconstruction (IR) images of submillisievert chest and abdominopelvic CT. Our prospective mult...
Radiation Dosage Radiography, Thoracic Humans Radiography, Abdominal Deep Learning Female Prospective Studies Imaging, Three-Dimensional Tomography, X-Ray Computed Aged Contrast Media Male Radiographic Image Interpretation, Computer-Assisted Middle Aged
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Differentiation of Small (≤ 4 cm) Renal Masses on Multiphase Contrast-Enhanced CT by Deep Learning.

AJR. American journal of roentgenology Jan 8, 2020
This study evaluated the utility of a deep learning method for determining whether a small (≤ 4 cm) solid renal mass was benign or malignant on multiphase contrast-enhanced CT. This retrospective study included 1807 image sets from 168 pathological...
Contrast Media Diagnosis, Differential Kidney Neoplasms Humans Adult Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Female Deep Learning Aged
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Twin Robotic X-Ray System for 3D Cone-Beam CT of the Wrist: An Evaluation of Image Quality and Radiation Dose.

AJR. American journal of roentgenology Dec 4, 2019
The purpose of this study was to assess image quality and radiation dose of a novel twin robotic x-ray system's 3D cone-beam CT (CBCT) function for the depiction of cadaveric wrists. Sixteen cadaveric wrists were scanned using dedicated low-dose an...
Wrist Joint Cadaver Humans Artifacts Cone-Beam Computed Tomography Radiation Dosage Imaging, Three-Dimensional Patient Positioning Robotics
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