Schweiz

Accelerate Innovation

Improving the detection rate of difficult to discover lesions has been one of the major challenges within the field of endoscopy in recent years. Fujifilm has continuously worked on the development of image processing technologies such as Linked Color Imaging (LCI) and  Blue Light Imaging (BLI) utilising specific wavelengths of light to support early cancer detection and characterisation. 

Recently Fujifilm has developed a new technology known as “CAD EYE” to support colonic polyp detection and characterisation during colonoscopy, utilising Fujifilm's medical AI technology named REiLI. CAD EYE is a customised detection and characterisation support compatible with the ELUXEO and ELUXEO Lite system.

CAD EYE SUPPORTS DETECTION AND CHARACTERISATION - CUSTOMISED FOR ELUXEO USERS

CAD EYE has been developed utilising AI deep learning technology and is compatible with Fujifilm’s ELUXEO™ endoscopy series to support endoscopic lesion detection and characterisation in the colon.

CAD EYE has been trained with a powerful supercomputer located in Fujifilm’s global AI technology centre in Tokyo, utilising an immense amount of clinical images using Fujifilm endoscopy systems. As a result, CAD EYE is a customised detection and characterisation support compatible with the ELUXEO™ system.

 

POWERFUL IN MULTIPLE SITUATIONS

REAL TIME DETECTION

CAD EYE is aimed to improve the real time polyp detection rate to expert level, helping to recognise flat lesions, multiple polyps simultaneously as well as any lesions at the corner of the image. CAD EYE Detection is possible with White Light and LCI (Linked Color Imaging) mode.

White Light Mode
LCI Mode

CHARACTERISATION SUPPORT

Once a suspected polyp is detected by CAD EYE Detection (WLI or LCI), CAD EYE Characterisation - in combination with BLI - can support endoscopists in the diagnosis of the polyp. This function analyses in real-time and without freezing or zooming if a polyp is hyperplastic or neoplastic, which is visually indicated by the use of different colour codes in the Position Map. CAD EYE Characterisation is aimed to make procedures more efficient by increasing the accuracy of diagnosis to expert-level.*

BLI Mode - NEOPLASTIC
BLI Mode - HYPERPLASTIC
*According to the validation study, the accuracy of non experts with the assistance of CAD EYE Characterisation was equivalent to that of an expert.

 

USER-FRIENDLY INTERFACE

The development of the interface has been designed to enable comfortable procedures. It does not interfere with clinical images and minimises required eye movement. Its display is designed to be simple and intuitive for excellent support during long hours in the examination room.

  • 1. DETECTION BOX
    Displays the area where the suspicious polyp is detected.
  • 2. VISUAL ASSIST CIRCLE
    Lights up in the direction where the suspicious polyp is detected.
  • 3. DETECTION SOUND
    Sound signal when a suspicious polyp is detected. Volume can be defined for each user.

 

  • 1. STATUS BAR
    Indicates status of characterisation analysis regarding to area suspected.
  • 2. VISUAL ASSIST CIRCLE
    GREEN: Characterisation HYPERPLASTIC
    YELLOW: Characterisation NEOPLASTIC
  • 3. POSITION MAP
    Indicates the position of the suspicious area, this software is characterising.
  • 4. CHARACTERISATION RESULT
    HYPERPLASTIC: hyperplastic polyps & SSL
    NEOPLASTIC: adenoma and cancer

 

 

SPECIFICATIONS

CAD EYE works with the expansion unit EX-1 and the CAD EYE software EW10-EC02 and can store up to 30 hours of video material in its internal memory. It can easily be controlled with the scope switch or directly at the processor.

Expansion Unit EX-1

Compatible processors VP-7000 / EP-6000
Compatible scopes 700 series colonoscopes**
Dimensions (W x H x D) 370.0 x 99.0 x 465.6 mm
** Movie recording function is compatible with 700/600/500 scopes excluding EUS scopes.

 

Software EW10-EC02

Package Content USB flash drive for CAD EYE installment, user manual

EXPERIENCES

Prof. Cesare Hassan (Gastroenterology and Digestive Endoscopy Unit, Nuovo Regina Margherita Hospital Rome, Italy) shared his experience with the CAD EYE function in his lecture "How can I maximize my ADR" during UEG Week 2019.

Prof. Helmut Neumann (Interventional Endoscopy Center, University of Mainz, Germany) answered our questions regarding Artificial Intelligence and CAD EYE.

In this webinar, hosted by ESGE, you will find out more about "New Technologies in Endoscopy: Real time optical detection & characterisation and a novel approach to haemostasis" (With Prof. Pech, Dr. Hassan, Prof. Neumann, Dr. Rondonotti and Dr. Weigt).

Dr. Emanuele Rondonotti explains how CAD EYE works and provides some valuable hints on how to receive good results on the detection and characterisation of polyps in the colon - supported by AI.

Upcoming Events

Date Events Location Remarks
03-05 December 2020 Prague, Czech Republic
14-15 December 2020
  • Amsterdam Live Endoscopy 2020
Amsterdam, The Netherlands
25-27 March 2021 Berlin, Germany
20-22 June 2021 Brussels, Belgium
9-10 July 2021 Athens, Greece