<scp>AUGUR</scp> ‐ <scp>AIM</scp> : Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer

Philip D. Mc Entee, Patrick A. Boland, Ronan A. Cahill

Open source

DOI: 10.1111/codi.70097
Published: 2025-04
Container: Colorectal Disease
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/codi.70097,
  title = {<scp>AUGUR</scp>
                    ‐
                    <scp>AIM</scp>
                    : Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer},
  author = {Philip D. Mc Entee and Patrick A. Boland and Ronan A. Cahill},
  year = {2025},
  journal = {Colorectal Disease},
  doi = {10.1111/codi.70097},
  url = {https://doi.org/10.1111/codi.70097}
}

RIS

TY  - JOUR
TI  - <scp>AUGUR</scp>
                    ‐
                    <scp>AIM</scp>
                    : Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer
AU  - Philip D. Mc Entee
AU  - Patrick A. Boland
AU  - Ronan A. Cahill
PY  - 2025
JO  - Colorectal Disease
DO  - 10.1111/codi.70097
UR  - https://doi.org/10.1111/codi.70097
ER  -

APA

Entee, P. D. M., Boland, P. A., & Cahill, R. A. (2025). <scp>AUGUR</scp> ‐ <scp>AIM</scp> : Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer. Colorectal Disease. https://doi.org/10.1111/codi.70097

Source records

crossref · retrieved 2026-09-25T03:57:35.175Z