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Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric.

Johan JendebergHåkan GeijerMuhammed AlshamariMats Lidén
Published in: European radiology (2018)
• An automated 3D technique predicts spontaneous stone passage with high accuracy. • Linear, areal and volumetric measurements performed similarly in predicting stone passage. • Reader variability has a large impact on the predicted prognosis for stone passage.
Keyphrases
  • editorial comment
  • machine learning
  • artificial intelligence
  • deep learning
  • high throughput