EW10-EC02 Endoscopy Support Program

by FUJIFILM Corporation  · Based in Japan → — Intelligent Support for Colonic Polyp Detection & Characterisation
Colorectal Surgery Gastroenterology

Contact for pricing
Regulatory Status Disclosed

Overview

FUJIFILM CAD EYE: EW10-EC02 Endoscopy Support Program

The FUJIFILM EW10-EC02 Endoscopy Support Program is a cutting-edge artificial intelligence (AI) powered software that forms a core component of the CAD EYE system. Designed to integrate seamlessly with FUJIFILM’s ELUXEO Endoscopic Imaging System, this program is a computer-assisted reading tool aimed at enhancing the real-time detection of colonic mucosal lesions, such as polyps and adenomas, during colonoscopy procedures.

Developed using advanced deep learning technology at Fujifilm’s global AI technology center in Tokyo, CAD EYE assists endoscopists in identifying difficult-to-spot lesions, including flat lesions, those located at the edge of the endoscopic view, or when multiple lesions are present in a single frame. Upon detection of a suspicious polyp, the system provides both visual alerts, such as a ‘Detection Box’ and a ‘Visual Assist Circle’ overlaid on the clinical images, and an auditory alert to notify the endoscopist. These alerts are user-adjustable to meet individual clinician preferences.

The EW10-EC02 Endoscopy Support Program can be utilized during both White Light Imaging (WLI) and Linked Color Imaging (LCI) modes, further enhancing visualization and detection capabilities. Studies have indicated that the use of CAD EYE can significantly improve adenoma per colonoscopy (APC) rates and adenoma detection rates (ADR), contributing to earlier detection and removal of pre-cancerous lesions.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered real-time detection of colonic mucosal lesions (polyps and adenomas)
  • Utilizes deep learning technology for enhanced accuracy
  • Seamless integration with FUJIFILM ELUXEO Endoscopic Imaging System
  • Provides visual alerts (Detection Box, Visual Assist Circle) overlaid on clinical images
  • Emits auditory alerts to notify endoscopists of suspicious findings
  • Supports detection of difficult-to-spot lesions (flat, at edge of view, multiple lesions)
  • Compatible with White Light Imaging (WLI) and Linked Color Imaging (LCI) modes
  • User-adjustable alert preferences and controls via endoscope or processor
  • Still image and movie recording with CAD EYE overlay functionality
  • Network function for data transfer (FTP/FTPS/DICOM STORAGE, SAMBA STORAGE)

Use Cases

  • Real-time detection of colonic polyps and adenomas during colonoscopy procedures
  • Aiding endoscopists in identifying and removing pre-cancerous lesions
  • Improving adenoma detection rates (ADR) and adenoma per colonoscopy (APC) rates
  • Supporting screening and surveillance endoscopic mucosal evaluations
  • Enhancing the efficiency and accuracy of endoscopic examinations

What Physicians Need to Know

Polyp Detection During Colonoscopy
The EW10-EC02 Endoscopy Support Program, part of Fujifilm's CAD EYE system, provides real-time AI-powered detection of colonic mucosal lesions, including polyps and adenomas, during colonoscopy. It utilizes visual alerts like a 'Detection Box' and 'Visual Assist Circle,' along with auditory alerts, to highlight suspicious areas. The system is designed to help recognize flat lesions, multiple polyps simultaneously, and lesions located at the periphery of the endoscopic view.
Real-Time Endoscopy AI
CAD EYE operates in real-time, processing up to 60 frames per second to provide immediate feedback to the endoscopist without interfering with the clinical image or requiring freezing or zooming. This real-time capability supports diagnosis during both standard and magnified observation.
Adenoma Detection Rate Improvement
Studies have shown that CAD EYE significantly improves the adenoma detection rate (ADR) and adenomas per colonoscopy (APC) compared to conventional high-definition colonoscopy without AI assistance. It aims to elevate the detection rate to an expert level and has been associated with an 11% increase in ADR and a 30% relative risk reduction for patients to develop colorectal cancer.
GI Pathology Analysis
Beyond detection, CAD EYE offers a 'Characterisation' function. When a suspicious polyp is detected, in combination with Blue Light Imaging (BLI), it can support endoscopists in the predictive histopathological diagnosis, distinguishing between 'neoplastic' and 'hyperplastic' polyps in real-time using different color codes on a Position Map.
Procedure Documentation
The system, in conjunction with the EX-1 expansion unit and EW10-SC01 software, enables the recording and storage of Full HD movies and still images, including the CAD EYE overlay results. It also supports network functions for transferring still images via FTP/FTPS/DICOM storage and video recordings via SAMBA.
Endoscopy System Compatibility
The EW10-EC02 Endoscopy Support Program (CAD EYE software) works with the Fujifilm EX-1 expansion unit and is specifically compatible with Fujifilm's ELUXEO Endoscopic Imaging System, including the ELUXEO 7000 system and 700 series colonoscopes.
Physician Tip

To maximize the benefits of the EW10-EC02 Endoscopy Support Program (CAD EYE), physicians should actively utilize both White Light Imaging (WLI) and Linked Color Imaging (LCI) modes for comprehensive polyp detection. Pay close attention to the real-time visual (Detection Box, Visual Assist Circle) and auditory alerts, as these are designed to highlight subtle or easily missed lesions, including flat ones or those at the image periphery. Leverage the CAD EYE Characterisation function with BLI for immediate, AI-assisted differentiation between neoplastic and hyperplastic polyps to aid in real-time clinical decision-making. Familiarize yourself with the customizable alert settings and the ability to activate/deactivate CAD EYE via endoscope buttons or the processor for seamless integration into your workflow. Utilize the Full HD movie and still image recording capabilities for documentation, case review, and training purposes, but remember that these recorded files should not be used for primary diagnosis.

The EW10-EC02 Endoscopy Support Program (CAD EYE) is designed as a dedicated add-on to Fujifilm's ELUXEO Endoscopic Imaging System, requiring the EX-1 expansion unit for functionality. It seamlessly integrates with ELUXEO processors (e.g., VP-7000, EP-6000) and is compatible with 700 series colonoscopes. The system supports network functions for transferring still images (FTP/FTPS/DICOM storage) and movie files (SAMBA storage), indicating potential for integration with hospital Picture Archiving and Communication Systems (PACS) or other digital image management platforms for streamlined documentation and archiving.

Details

Category Gastroenterology AI
Pricing Contact for pricing
DeploymentOn-premise (integrated with existing endoscopy system hardware)
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Yes AI-estimated

The EW10-EC02 Endoscopy Support Program received 510(k) clearance (K230751) from the U.S. FDA on December 15, 2023, as a computer-assisted reading tool to aid endoscopists in detecting colonic mucosal lesions in real time.

Integrations
EHR Not specified
Specialties Colorectal Surgery, Gastroenterology

What the Web Says

The Fujifilm EW10-EC02 Endoscopy Support Program, part of the CAD EYE system, is an AI-driven software designed to assist endoscopists in real-time detection and characterization of colonic polyps and adenomas during colonoscopy exams. It analyzes real-time endoscopic video images using deep learning algorithms, compatible with White Light Imaging (WLI) and Linked Color Imaging (LCI), to highlight potential lesions. The system aims to improve diagnostic accuracy and patient outcomes by enhancing the detection rate of precancerous lesions, including those that are flat, in corners of the view, or multiple lesions simultaneously.

Overall: Positive

Strengths

  • Real-time AI-powered detection of polyps and adenomas.
  • Aids in detecting challenging lesions (flat, in corners, multiple simultaneously).
  • Can differentiate between hyperplastic and neoplastic polyps.
  • User-friendly interface with visual and auditory alerts that don't interfere with the clinical image.
  • Demonstrated improved adenoma per colonoscopy rates in clinical trials.
  • Integrates with existing Fujifilm ELUXEO endoscopy systems.

Limitations

  • Not intended to replace clinical judgment or decision-making.
  • Potential for false positives or false negatives due to algorithm failure or user overreliance.
  • Requires compatible Fujifilm hardware (EX-1 expansion unit and ELUXEO system).
  • Limited information available from independent physician reviews or platforms like Reddit, G2, or Capterra.
  • Availability may vary by country due to exclusive distribution arrangements.
  • The software is not intended for the diagnosis, treatment, or prevention of diseases.

Based on reviews from: FDA Radiology AI Device - X-ray Interpreter, Moomoo, FUJIFILM | Radiology AI Companies - X-ray Interpreter, accessdata.fda.gov, CAD EYE | Fujifilm [United Arab Emirates], iF Design Award, Duomed, FDA, Medical Device Network, C.R Kennedy NZ, Case Study: CAD EYEu00ae by Fujifilm - AI-Enhanced Colonoscopy Detection and Diagnosis, REiLI-CAD-EYE-Factsheet.pdf, Fujifilm Receives 510(k) Clearance for CAD EYEu00ae, New AI-Powered Endoscopic Imaging Technology for Colonic Polyp Detection, SOFMEDICA.com, FUJIFILM Endoscopy, Fujifilm endoscopy: Pioneering Modern Endoscopy Imaging, Fujifilm Wins FDA Nod for AI-Powered Colonic Polyp Detection, AI Raises the Bar on Colonoscopy Performance with Fujifilm's CAD EYE, Becker's ASC, TechSci Research, PMC, PMC - NIH

Last updated: 2026-07-18

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Press & Coverage

RadAI Slice
EW10-EC02 Endoscopy Support Program | FDA Radiology AI Device - X-ray Interpreter
The EW10-EC02 Endoscopy Support Program is an AI-driven software tool designed to support endoscopists by detecting colon polyps and adenomas in real time during standard colonoscopy exams. It received FDA approval on December 15, 2023, after a 9-month submission process.
2023-12
FDA
K230751 - 510(k) Premarket Notification - FDA
This is the official FDA 510(k) Premarket Notification for the EW10-EC02 Endoscopy Support Program, submitted by Fujifilm Corporation. It details the applicant, correspondent, regulation number, and classification product code (QNP).
2026-06
PMC (PubMed Central)
The utility of artificial intelligence in visualization of pediatric gastrointestinal mucosa - PMC
This peer-reviewed article discusses the utility of AI in visualizing pediatric gastrointestinal mucosa and references the FDA 510(k) clearance for the CAD EYE/EW10-EC02 Endoscopy Support Program (K230751) in 2023. It highlights the growing role of AI in gastroenterology and its potential to enhance diagnostic precision.
2026-01
Becker's ASC Review
The 10 AI algorithms FDA-cleared for gastroenterology - Becker's ASC
This article lists the 10 AI algorithms FDA-cleared for gastroenterology, including Fujifilm's EW10-EC02 Endoscopy Support Program. As of May 13, the FDA had cleared 882 AI/ML-enabled medical devices, with 10 specifically for gastroenterology.
2024-05
RadAI Slice
FUJIFILM | Radiology AI Companies - X-ray Interpreter
This page provides an overview of Fujifilm's AI-driven products, confirming the EW10-EC02 Endoscopy Support Program as an AI-driven software tool for real-time colon polyp and adenoma detection, released on December 15, 2023, and regulated by the FDA.
2023-12
FDA
December 15, 2023 FUJIFILM Corporation Kotei Aoki Manager, Regulatory Affairs FUJIFILM Healthcare Americas Corporation 81 Ha - accessdata.fda.gov
This FDA document details the software verification and validation conducted for the EW10-EC02 Endoscopy Support Program, confirming its intended use and performance in detecting large intestine polyps in real-time colonoscopic images. It also identifies GI Genius as a predicate device.
2023-12
FDA
TPLC - Total Product Life Cycle - accessdata.fda.gov
This FDA Total Product Life Cycle (TPLC) page lists the EW10-EC02 Endoscopy Support Program (K230751) and indicates its substantial equivalence to other devices.
2026-06
beudamed
FUJIFILM Corporation Medical Systems Research ... - beudamed
This document from beudamed, a medical device search engine, lists the EW10-EC02 Endoscopy Support Program with its 510(k) number K251830, indicating a regulatory submission.
unknown

Videos

Product demos, reviews, and walkthroughs for EW10-EC02 Endoscopy Support Program.

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Frequently Asked Questions

The EW10-EC02 Endoscopy Support Program, part of Fujifilm's CAD EYE system, uses AI deep learning technology to provide real-time detection and characterization of colonic mucosal lesions, such as polyps and adenomas, during colonoscopies. It offers visual alerts like a 'Detection Box' and 'Visual Assist Circle,' along with auditory alerts, to help endoscopists identify lesions that might otherwise be missed, including flat or multiple polyps in a single frame.
The EW10-EC02 Endoscopy Support Program has received 510(k) clearance from the U.S. Food and Drug Administration (FDA), indicating it is safe and effective for its intended use. Physicians using AI tools in endoscopy must also adhere to local information governance policies and data protection regulations like HIPAA and GDPR, as the system processes patient data.
Several other AI-powered endoscopy systems are available, such as Medtronic's GI Genius, Odin Vision's CADDIE and CADU, and ASUS EndoAim. These systems also aim to enhance polyp detection and characterization during endoscopic procedures, offering similar real-time analysis capabilities.
While specific pricing for EW10-EC02 is not publicly detailed, AI in endoscopy solutions generally involve acquisition and maintenance costs for hardware and software. Studies suggest that despite these upfront costs, AI-aided colonoscopy can be cost-effective by improving detection rates, potentially leading to overall cost savings per case and increased revenue from polypectomies.
Limitations of AI in endoscopy include potential issues with data privacy and security, algorithmic bias, and the need for thorough validation across diverse patient populations. While AI improves detection, it is not intended to replace clinical decision-making, and clinicians retain ultimate responsibility for patient care.
The EW10-EC02 system is a computer-assisted reading tool designed to *aid* endoscopists in detecting lesions; it is not intended to replace clinical decision-making. Physicians maintain ultimate responsibility for clinical care and decisions, using the AI as an assistant to enhance their diagnostic capabilities.
While specific training details for EW10-EC02 are not fully outlined, AI systems in endoscopy generally require a learning curve for providers to utilize the technology effectively. The system is designed to integrate seamlessly with existing Fujifilm ELUXEO endoscopic imaging systems, overlaying visual cues on clinical images without interfering with the physician's workflow and allowing activation via endoscope buttons or the processor unit.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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