AIMC Topic: Radiology Information Systems

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Open access image repositories: high-quality data to enable machine learning research.

Clinical radiology Apr 28, 2019
Originally motivated by the need for research reproducibility and data reuse, large-scale, open access information repositories have become key resources for training and testing of advanced machine learning applications in biomedical and clinical re...
Humans Machine Learning Biomedical Research Radiology Access to Information Information Storage and Retrieval Radiology Information Systems Neoplasms Diagnosis, Computer-Assisted United States
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Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.

Journal of the American College of Radiology : JACR Mar 2, 2019
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore th...
Machine Learning Databases, Factual Retrospective Studies Tomography, X-Ray Computed Humans Research Report Male ROC Curve Radiology Information Systems Middle Aged Radiology Department, Hospital Liver Neoplasms Health Resources Natural Language Processing Carcinoma, Hepatocellular Ontario Area Under Curve Female Predictive Value of Tests Aged Sensitivity and Specificity
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Medical image classification using synergic deep learning.

Medical image analysis Feb 18, 2019
The classification of medical images is an essential task in computer-aided diagnosis, medical image retrieval and mining. Although deep learning has shown proven advantages over traditional methods that rely on the handcrafted features, it remains c...
Image Processing, Computer-Assisted Diagnostic Imaging Data Mining Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning Information Storage and Retrieval Radiology Information Systems Humans
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Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Reviewing radiology reports in emergency departments is an essential but laborious task. Timely follow-up of patients with abnormal cases in their radiology reports may dramatically affect the patient's outcome, especially if they have been discharge...
Classification Emergency Service, Hospital Neural Networks, Computer Radiology Information Systems Supervised Machine Learning Algorithms Information Storage and Retrieval Natural Language Processing
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A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and Data System (LI-RADS) final assessment categories in narrative ultrasound (US) reports. Although our model was trained on reports created using a LI-...
Liver Radiology Information Systems Humans Data Systems Machine Learning Ultrasonography Algorithms Liver Neoplasms Diagnosis, Computer-Assisted Carcinoma, Hepatocellular
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A dataset of clinically generated visual questions and answers about radiology images.

Scientific data Nov 20, 2018
Radiology images are an essential part of clinical decision making and population screening, e.g., for cancer. Automated systems could help clinicians cope with large amounts of images by answering questions about the image contents. An emerging area...
Data Mining Radiology Information Systems Algorithms Humans Image Processing, Computer-Assisted Machine Learning Radiography Data Analysis
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

PLoS medicine Nov 6, 2018
BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previ...
United States Pneumonia Predictive Value of Tests Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Radiology Information Systems Middle Aged Diagnosis, Computer-Assisted Deep Learning Adult Cross-Sectional Studies Male Humans Reproducibility of Results Retrospective Studies Aged Female
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Using a Natural Language Processing and Machine Learning Algorithm Program to Analyze Inter-Radiologist Report Style Variation and Compare Variation Between Radiologists When Using Highly Structured Versus More Free Text Reporting.

Current problems in diagnostic radiology Oct 9, 2018
PURPOSE: To use a natural language processing and machine learning algorithm to evaluate inter-radiologist report variation and compare variation between radiologists using highly structured versus more free text reporting.
Humans Machine Learning Research Report Radiology Information Systems Software Natural Language Processing
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Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

International journal of medical informatics Aug 18, 2018
BACKGROUND: The wide adoption of electronic health record systems (EHRs) in hospitals in China has made large amounts of data available for clinical research including breast cancer. Unfortunately, much of detailed clinical information is embedded in...
Radiology Information Systems China Ultrasonography, Mammary Image Interpretation, Computer-Assisted Female Breast Neoplasms Deep Learning Humans Machine Learning Algorithms
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Current Applications and Future Impact of Machine Learning in Radiology.

Radiology Jun 26, 2018
Recent advances and future perspectives of machine learning techniques offer promising applications in medical imaging. Machine learning has the potential to improve different steps of the radiology workflow including order scheduling and triage, cli...
Radiology Information Systems Humans Machine Learning Radiology
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