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Fujifilm India Reveals CAD EYE Function for Colon Polyp Detection

Fujifilm India has introduced new software version of “CAD EYE”, a function that supports real-time detection of colonic polyps during colonoscopy utilizing AI technology.

Fujifilm This updated function will be essential for colon polyp detection and characterization, which will be achieved by utilizing a type of Artificial Intelligence (AI) called deep learning.

Speaking on the launch of this latest function, Koji Wada, Managing Director, Fujifilm India said, “Fujifilm has always been at the forefront of healthcare development and evolution, and has continued to work towards providing new and technologically relevant solutions to help manage the health-crisis this nation faces along with the rest of the world. Cancer has been a prolonging disease in our society and a cure for it is yet to be fully discovered. Hence, it becomes extremely necessary that we detect this problem at the beginning of its growth, and manage to treat it with the pre-existing treatments. With this new function for “CAD EYE”, colon polyp detection and characterization 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 launch was announced at the India Live Endoscopy Forum 2021 held on 25th-26th September, an event where eminent leaders and top experts from the industry share the stage to discuss the latest technological advancements in endoscopy.

The new detection and characterization 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 utilizing 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.

The Graphical User Interface (GUI) for “CAD EYE” was designed to minimize the endoscopists’ eye movements during a procedure, displaying the detection and characterization result and the Visual Assist Circle around the circumference of the endoscopy image.

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Aishwarya Saxena

A book geek, with creative mind, an electronics degree, and zealous for writing.Creativity is the one thing in her opinion which drove her to enter into editing field. Allured towards south Indian cuisine and culture, love to discover new cultures and their customs. Relishes in discovering new music genres.

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