<scp>AUGUR</scp> ‐ <scp>AIM</scp> : Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer
AUGUR-AIM will validate the use of AUGUR-AI to interpret ICGFA imagery in real time to the level of an expert ICGFA user, building on our previous work to include a larger, more diverse patient and surgeon population. This could allow future progression to develop the AI model into a usable clinical tool that could provide decision support, including to new/infrequent ICGFA users, and documentary support of the decision made by experienced users.
Authors
- Ronan A. Cahill (ORCID: https://orcid.org/0000-0002-1270-4000)
- Patrick A. Boland (ORCID: https://orcid.org/0000-0002-5844-7695)
- Philip D. McEntee (ORCID: https://orcid.org/0000-0002-3907-5398)
Institutions
- Mater Misericordiae University Hospital (IE)
Publication Details
- Journal
- Colorectal Disease
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1111/codi.70097
- Citations
- 7
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 7.32