Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid-enhanced MRI.
Stefanie J HectorsPaul KennedyKuang-Han HuangDaniel StockerGuillermo CarbonellHayit GreenspanScott FriedmanBachir A TaouliPublished in: European radiology (2020)
• The developed deep learning algorithm, based on routine standard-of-care gadoxetic acid-enhanced MRI data, showed good-to-excellent diagnostic performance for noninvasive staging of liver fibrosis. • The diagnostic performance of the deep learning algorithm was equivalent to that of MR elastography in a separate test set.
Keyphrases
- deep learning
- liver fibrosis
- diffusion weighted imaging
- contrast enhanced
- artificial intelligence
- convolutional neural network
- magnetic resonance imaging
- machine learning
- healthcare
- big data
- magnetic resonance
- palliative care
- computed tomography
- electronic health record
- quality improvement
- pain management
- health insurance