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Performance of an algorithm for diagnosing acute cholecystitis using clinical and sonographic parameters.

Maitray D PatelAndrew P SillNirvikar DahiyaFrederick ChenWilliam G EversmanJ Scott KriegshauserScott W Young
Published in: Abdominal radiology (New York) (2021)
For acute cholecystitis, an algorithm using non-binary ultrasound and clinical assessments had higher sensitivity, higher diagnostic rate, and fewer adverse outcomes, than subspecialty radiologist impressions.
Keyphrases
  • liver failure
  • machine learning
  • respiratory failure
  • deep learning
  • magnetic resonance imaging
  • drug induced
  • computed tomography
  • ionic liquid
  • hepatitis b virus
  • optical coherence tomography