AIMC Topic: Radiology Department, Hospital

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Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.

AJR. American journal of roentgenology Jan 31, 2017
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices.
Humans Machine Learning Reproducibility of Results Sensitivity and Specificity Support Vector Machine Magnetic Resonance Imaging Natural Language Processing Workload Data Mining Academic Medical Centers Pattern Recognition, Automated Image Enhancement California Radiology Information Systems North Carolina Radiology Department, Hospital Knee
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Financing Artificial Intelligence in Medical Imaging: Show Me the Money.

Journal of the American College of Radiology : JACR Jan 1, 2020
Humans Artificial Intelligence United States Diagnostic Imaging Radiology Department, Hospital
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Special Considerations for Integrating Artificial Intelligence Solutions in Urban Safety-Net Hospitals.

Journal of the American College of Radiology : JACR Jan 1, 2020
Humans Artificial Intelligence Radiology Department, Hospital Models, Organizational Safety-net Providers Organizational Innovation Hospitals, Urban
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Artificial Intelligence for Operations: The Untold Story.

Journal of the American College of Radiology : JACR Mar 1, 2018
Humans Artificial Intelligence Radiology Department, Hospital
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MORE INTELLIGENCE FOR RADIOLOGY Machine learning offers promise, but much work lies ahead.

Health data management May 1, 2017
Machine Learning United States Radiology Department, Hospital
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