Our models have the potential to influence clinical decision making by providing supplemental analytical data from MAG3 scans that would not otherwise be available to urologists. Future multi-institutional retrospective and prospective trials are needed to validate our model.
Keyphrases
- deep learning
- decision making
- computed tomography
- pregnant women
- young adults
- electronic health record
- contrast enhanced
- current status
- cross sectional
- big data
- artificial intelligence
- preterm birth
- machine learning
- convolutional neural network
- magnetic resonance imaging
- risk assessment
- magnetic resonance
- climate change
- mass spectrometry