SOURCE-LINKED INTELLIGENCE

VALIDATING AI IN CLASSIFYING CANCER IN REAL-TIME SURGERY

CORDIS · observation · Publication date unknown

ation by comparing the fluorescence signal in these areas with those in adjacent normal tissue within the same endolaparoscopic field of view. Application of AI methods (including computer vision and machine learning techniques) has enabled this differential classification to occur in real time so that better, individualised surgical decisions can be taken during an operation. In this project, we build up our existing AI solution research prototype into an operating room-standard surgical tool and validate its performance, reliability, usability and acceptance in five leading cancer surgery centres across Europe (500 patients). The validation studies address (a) generalisability across clinics; (b) biopsy and tumour identification; and (c) optimised resection of large (>3cm) rectal polyps, a key area of current surgical practice where the biggest clinical challenge ensuring accurate patient selection for curative therapy. Training and education, communication and dissemination will be delivered by IRCAD, Europe's leading surgical education organisation. Legal, regulatory and li

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

5978716

unit

EUR