AIMC Journal:
European journal of radiology

Showing 271 to 280 of 296 articles

A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.

European journal of radiology Nov 9, 2019
PURPOSE: To evaluate the opinion and assessment of radiologists, surgeons and medical students on a number of important topics regarding the future of radiology, such as artificial intelligence (AI), turf battles, teleradiology and 3D-printing.
Attitude of Health Personnel Radiology Switzerland Radiologists Health Care Surveys Humans Artificial Intelligence Students, Medical Surgeons
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Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

European journal of radiology Nov 6, 2019
PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomics analysis for discriminating between low grade (WHO/ISUP I-II) and high grade (WHO/ISUP III-IV) clear cell renal cell carcinomas (ccRCCs).
Diagnosis, Differential Predictive Value of Tests Neoplasm Grading Algorithms Image Interpretation, Computer-Assisted Humans Retrospective Studies Aged Kidney Neoplasms Machine Learning Tomography, X-Ray Computed Carcinoma, Renal Cell Aged, 80 and over Middle Aged Female Young Adult Kidney Reproducibility of Results Adult Logistic Models Male Support Vector Machine
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Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning.

European journal of radiology Oct 17, 2019
PURPOSE: This study sought to establish a robust and fully automated Type B aortic dissection (TBAD) segmentation method by leveraging the emerging deep learning techniques.
Female Aged Aged, 80 and over Adult Male Humans Retrospective Studies Aorta Computed Tomography Angiography Aortic Aneurysm Middle Aged Deep Learning Image Interpretation, Computer-Assisted Aortic Dissection
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Deep learning-enabled system for rapid pneumothorax screening on chest CT.

European journal of radiology Sep 26, 2019
PURPOSE: Prompt diagnosis and quantitation of pneumothorax impact decisions pertaining to patient management. The purpose of our study was to develop and evaluate the accuracy of a deep learning (DL)-based image classification program for detection o...
Time Reproducibility of Results Pneumothorax Humans Aged Child, Preschool Neural Networks, Computer Aged, 80 and over Sensitivity and Specificity Child Tomography, X-Ray Computed Young Adult Support Vector Machine Male Female Adult Radiography, Thoracic Middle Aged Deep Learning Adolescent
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Injecting and removing suspicious features in breast imaging with CycleGAN: A pilot study of automated adversarial attacks using neural networks on small images.

European journal of radiology Sep 10, 2019
PURPOSE: To train a CycleGAN on downscaled versions of mammographic data to artificially inject or remove suspicious features, and to determine whether these AI-mediated attacks can be detected by radiologists.
Breast Neoplasms Case-Control Studies Pilot Projects ROC Curve Mammography Area Under Curve Radiologists Breast Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Female
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3D cone-beam CT of the ankle using a novel twin robotic X-ray system: Assessment of image quality and radiation dose.

European journal of radiology Sep 7, 2019
PURPOSE: To evaluate image quality (IQ) and radiation dose in cone-beam computed tomography (CBCT) of the ankle using a novel twin robotic X-ray system.
Cadaver Artifacts Radiation Dosage Signal-To-Noise Ratio Ankle Joint Humans Cone-Beam Computed Tomography Robotics Equipment Design Phantoms, Imaging X-Rays Tomography Scanners, X-Ray Computed
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CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.

European journal of radiology Jul 2, 2019
PURPOSE: This study aimed to investigate whether a machine learning-based computed tomography (CT) texture analysis could predict the mutation status of V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) in colorectal cancer.
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Colorectal Neoplasms Male Proto-Oncogene Proteins p21(ras) ROC Curve Predictive Value of Tests Mutation Radiographic Image Interpretation, Computer-Assisted
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Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.

European journal of radiology Jun 28, 2019
PURPOSE: To explore the feasibility and performance of machine learning-based radiomics classifier to predict the cell proliferation(Ki-67)in non-small cell lung cancer (NSCLC).
Sensitivity and Specificity Tomography, X-Ray Computed Male ROC Curve Humans Middle Aged Female Lung Neoplasms Lung Machine Learning Aged Cell Proliferation Algorithms Aged, 80 and over Carcinoma, Non-Small-Cell Lung Retrospective Studies Adult Radiographic Image Interpretation, Computer-Assisted
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MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer.

European journal of radiology Jun 22, 2019
PURPOSE: To develop and validate an Artificial Intelligence (AI) model based on texture analysis of high-resolution T2 weighted MR images able 1) to predict pathologic Complete Response (CR) and 2) to identify non-responders (NR) among patients with ...
Female Reproducibility of Results Aged Aged, 80 and over Male Humans Artificial Intelligence Magnetic Resonance Imaging Prospective Studies Rectum Middle Aged Retrospective Studies Rectal Neoplasms Cohort Studies Chemoradiotherapy, Adjuvant ROC Curve Treatment Outcome Neoadjuvant Therapy
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Using machine learning to predict one-year cardiovascular events in patients with severe dilated cardiomyopathy.

European journal of radiology Jun 11, 2019
PURPOSE: Dilated cardiomyopathy (DCM) is a common form of cardiomyopathy and it is associated with poor outcomes. A poor prognosis of DCM patients with low ejection fraction has been noted in the short-term follow-up. Machine learning (ML) could aid ...
Bayes Theorem Cardiomyopathy, Dilated Aged Adult Male Middle Aged ROC Curve Machine Learning Humans Algorithms Prognosis Female
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