Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective
Rachel N Flach, Nina L. Fransen, Andreas F.‐P. Sonnen, Tri Q. Nguyen, Gerben E. Breimer, Mitko Veta, Nikolas Stathonikos, Carmen van Dooijeweert, P. J. van Diest
Abstract
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.
Topics & Concepts
Perspective (graphical)TelepathologyComputer scienceDigital pathologyData scienceArtificial intelligenceMedical physicsMedicineTelemedicinePolitical scienceHealth careLawAI in cancer detectionRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education