posted on 2021-11-15, 16:55authored byRA Cahill, Donal O'SheaDonal O'Shea, MF Khan, HA Khokhar, JP Epperlein, PG Mac Aonghusa, R Nair, SM Zhuk
A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development.A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development. A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development.
Shows promise
Funding
Irish Government Department of Business, Enterprise and Innovation’s Disruptive Technology Innovation Fund
History
Comments
This is a pre-copyedited, author-produced PDF of an article accepted for publication in British Journal of Surgery following peer review. The version of record Cahill RA, O'Shea DF, Khan MF, Khokhar HA, Epperlein JP, Mac Aonghusa PG, Nair R, Zhuk SM. Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification. Br J Surg. 2021;108(1):5-9 is available online at: https://academic.oup.com/bjs/article-abstract/108/1/5/6032888?redirectedFrom=fulltext
Published Citation
Cahill RA. et al. Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification. Br J Surg. 2021;108(1):5-9.