Artificial Intelligence-Based Detection of Colonic Angiodysplasia Can Improve Endoscopic Reporting Consistency.

Kafetzis I, Theile JS, Dimitriadis S, Albert J, Zoller W, Meining A, Hann A

DOI: 10.1002/ueg2.70291
Published: 2026 Sep
Container: United European gastroenterology journal
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/ueg2.70291,
  title = {Artificial Intelligence-Based Detection of Colonic Angiodysplasia Can Improve Endoscopic Reporting Consistency.},
  author = {Kafetzis I and Theile JS and Dimitriadis S and Albert J and Zoller W and Meining A and Hann A},
  year = {2026},
  journal = {United European gastroenterology journal},
  doi = {10.1002/ueg2.70291},
  url = {https://doi.org/10.1002/ueg2.70291}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence-Based Detection of Colonic Angiodysplasia Can Improve Endoscopic Reporting Consistency.
AU  - Kafetzis I
AU  - Theile JS
AU  - Dimitriadis S
AU  - Albert J
AU  - Zoller W
AU  - Meining A
AU  - Hann A
PY  - 2026
JO  - United European gastroenterology journal
DO  - 10.1002/ueg2.70291
UR  - https://doi.org/10.1002/ueg2.70291
ER  -

APA

I, K., JS, T., S, D., J, A., W, Z., A, M., & A, H. (2026). Artificial Intelligence-Based Detection of Colonic Angiodysplasia Can Improve Endoscopic Reporting Consistency.. United European gastroenterology journal. https://doi.org/10.1002/ueg2.70291

Source records

pubmed · retrieved 2026-09-25T17:12:05.371Z