The new CAD EYE detection and characterisation will assist clinicians by generating a suggested histological prediction by displaying whether the suspicious polyp(s) in the image are hyperplastic or neoplastic
Fujifilm India has launched the new software version of CAD EYE, a function that supports real-time detection of colonic polyps during colonoscopy utilising AI technology. The updated function will be essential for colon polyp detection and characterisation, which will be achieved by utilising a type of Artificial Intelligence (AI) called deep learning.
The new detection and characterisation functionality of CAD EYE together with the polyp detection function will be available with software EW10-EC02 and the compatible expansion unit EX-1 in combination with Fujifilm’s ELUXEO systems and colonoscopes. CAD EYE was originally developed to support real-time detection of colonic polyps utilising AI technology. When a suspicious polyp is detected within the endoscopic image, a Detection Box indicates the area where the suspicious polyp has been detected, accompanied by a sound signal. The new CAD EYE Detection and Characterisation will assist clinicians by generating a suggested histological prediction by displaying whether the suspicious polyp(s) in the image are hyperplastic or neoplastic.
Speaking on the launch of this latest function, Koji Wada, MD, Fujifilm India said, “With this new function for CAD EYE, colon polyp detection and characterisation will be completed in real-time and will save time for technicians and patients alike. We hope that this technological advancement bears the fruit of the immense hard work that all Fujifilm researchers and scientists put in every day.”
The Graphical User Interface (GUI) for CAD EYE was designed to minimise the endoscopists’ eye movements during a procedure, displaying the detection and characterisation result and the Visual Assist Circle around the circumference of the endoscopy image. The position map is placed directly next to the side of the clinical image to show which area of the video image CAD EYE is focusing on. This lessens the burden on the endoscopist and helps them understand the generated image in a much-detailed manner.