How to use AI in pathology

Peter Schüffler; Katja Steiger; Wilko Weichert

doi:10.1002/gcc.23178

How to use AI in pathology

Peter Schüffler, Katja Steiger, Wilko Weichert

Technical University of Munich

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

AI plays an important role in pathology, both in clinical practice supporting pathologists in their daily work, and in research discovering novel biomarkers for improved patient care. Still, AI is in its starting phase, and many pathology labs still need to transition to a digital workflow to be able to enjoy the benefits of AI. In this perspective, we explain the major benefits of AI in pathology, highlight key requirements that need to be met and example how to use it in a typical workflow.

Original language	English
Pages (from-to)	564-567
Number of pages	4
Journal	Genes Chromosomes and Cancer
Volume	62
Issue number	9
DOIs	https://doi.org/10.1002/gcc.23178
State	Published - Sep 2023

Keywords

computational pathology
digital pathology
pathology AI

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/gcc.23178

Cite this

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abstract = "AI plays an important role in pathology, both in clinical practice supporting pathologists in their daily work, and in research discovering novel biomarkers for improved patient care. Still, AI is in its starting phase, and many pathology labs still need to transition to a digital workflow to be able to enjoy the benefits of AI. In this perspective, we explain the major benefits of AI in pathology, highlight key requirements that need to be met and example how to use it in a typical workflow.",

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How to use AI in pathology

Abstract

Keywords

UN SDGs

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