Litcius/Paper detail

Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification

Ronan A. Cahill, Donal F. O’Shea, Mohammad Faraz Khan, Haseeb Anwar Khokhar, Jonathan P. Epperlein, Pól G. Mac Aonghusa, Rajesh Nair, Sergiy Zhuk

2020British journal of surgery74 citationsDOIOpen Access PDF

Abstract

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

Topics & Concepts

MedicineColorectal cancerFluorophoreArtificial intelligenceIndocyanine greenCancerMedical physicsPathologyComputer scienceFluorescenceInternal medicinePhysicsQuantum mechanicsColorectal Cancer Surgical TreatmentsPhotoacoustic and Ultrasonic ImagingNanoplatforms for cancer theranostics