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

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...

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Detalles Bibliográficos
Autores principales: Flach, Rachel N., Fransen, Nina L., Sonnen, Andreas F. P., Nguyen, Tri Q., Breimer, Gerben E., Veta, Mitko, Stathonikos, Nikolas, van Dooijeweert, Carmen, van Diest, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140005/
https://www.ncbi.nlm.nih.gov/pubmed/35626198
http://dx.doi.org/10.3390/diagnostics12051042
Descripción
Sumario: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.

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