[Artificial intelligence in gastroenterology].

Journal: Deutsche medizinische Wochenschrift (1946)
Published Date:

Abstract

Artificial intelligence (AI) is currently transforming all aspects of our daily life, including the practice of medicine. Artificial neural networks are a key method of AI. They can very effectively detect subtle patterns in imaging data and speech or text data. This is highly relevant for the practice of gastroenterology. Here, we summarize the state of the art in AI in gastroenterology and outline major clinical applications. Our focus is on AI-based analysis of endoscopy images, non-invasive imaging and histology images. In these applications, AI can support human pattern recognition. Beyond detection and classification of pathological findings, AI can predict clinical outcome from subtle image features.

Authors

  • Jakob Nikolas Kather
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Jeremias Krause
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Tom Luedde
    Division of Gastroenterology, Hepatology and Hepatobiliary Oncology, University Hospital RWTH Aachen, Aachen, Germany.