Z Gastroenterol 2021; 59(08): e342-e343
DOI: 10.1055/s-0041-1734270
Gastroenterologist against the machine - opportunities and limitations of machine
learning models for prediction of advanced adenoma
Authors
-
G Semmler
1
Medical University of Vienna, Department of Internal Medicine III, Division of Gastroenterology
and Hepatology, Vienna, Austria
2
Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of
the Paracelsus Medical University Salzburg, Oberndorf, Austria
-
S Wernly
2
Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of
the Paracelsus Medical University Salzburg, Oberndorf, Austria
-
B Wernly
3
Second Department of Medicine, Paracelsus Medical University Salzburg, Salzburg, Austria
-
B Mamandipoor
4
Fondazione Bruno Kessler Research Institute, Trento, Italy
-
S Bachmayer
2
Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of
the Paracelsus Medical University Salzburg, Oberndorf, Austria
-
L Semmler
2
Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of
the Paracelsus Medical University Salzburg, Oberndorf, Austria
-
E Aigner
5
First Department of Medicine, Paracelsus Medical University Salzburg, Salzburg, Austria
-
C Datz
2
Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of
the Paracelsus Medical University Salzburg, Oberndorf, Austria
-
V Osmani
4
Fondazione Bruno Kessler Research Institute, Trento, Italy
