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Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective.

Rachel N FlachNina L FransenAndreas F P SonnenTri Q NguyenGerben E BreimerMitko VetaNikolas StathonikosCarmen van DooijeweertPaul J van Diest
Published in: Diagnostics (Basel, Switzerland) (2022)
Building on a growing number of pathology labs having a full digital infrastructure for pathology diagnostics, there is a growing interest in implementing artificial intelligence (AI) algorithms for diagnostic purposes. This article provides an overview of the current status of the digital pathology infrastructure at the University Medical Center Utrecht and our roadmap for implementing AI algorithms in the next few years.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • quality improvement
  • current status
  • primary care
  • healthcare