Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus

Gut. 2020 Apr;69(4):615-616. doi: 10.1136/gutjnl-2019-319460. Epub 2019 Sep 20.

Alanna Ebigbo^#¹, Robert Mendel^#^{2

3}, Andreas Probst⁴, Johannes Manzeneder⁴, Friederike Prinz⁴, Luis A de Souza Jr⁵, Joao Papa⁶, Christoph Palm^{7

3}, Helmut Messmann⁴

¹ Department of Gastroenterology, Universitätsklinikum Augsburg, Augsburg, Germany alanna.ebigbo@uk-augsburg.de christoph.palm@oth-regensburg.de.
² Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Regensburg, Germany.
³ Regensburg Center of Health Sciences and Technology, OTH Regensburg, Regensburg, Germany.
⁴ Department of Gastroenterology, Universitätsklinikum Augsburg, Augsburg, Germany.
⁵ Department of Computing, Federal University of São Carlos, São Carlos, Brazil.
⁶ Department of Computing, São Paulo State University, Bauru, Brazil.
⁷ Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Regensburg, Germany alanna.ebigbo@uk-augsburg.de christoph.palm@oth-regensburg.de.

^# Contributed equally.

No abstract available

Keywords: Barrett’s oesophagus; artificial intelligence; computer-aided diagnosis; deep learning; endoscopy.

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