EndoBRAIN-EYE wins a Japanese insurance add-on for better colonoscopy

Japan's health ministry recognized EndoBRAIN-EYE as shown to raise specialists' diagnostic accuracy in colonoscopy, which made it eligible for a new insurance add-on to polyp removal.

  • 2 for a person

    The ministry recognized higher diagnostic accuracy for specialists using the program, and a trade journal reported a rise in their tumor detection rate from 21.6% to 31.2%.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

An independent assessment report supports the benefit.

Compared with

Colonoscopy by specialists without the program. Measured.

Without the system
21.6％ tumor detection rate
With it
31.2％ tumor detection rate
The system’s part
The ministry recognized the program as raising specialists' diagnostic accuracy compared with not using it, a comparison with and without the program. The Q&A gives no figures and names no study. It describes software that analyzes colonoscopy video, and PMDA lists EndoBRAIN-EYE among approved AI-based programs.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome

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Benefit type
Improved Task Accuracy
System
EndoBRAIN-EYE (内視鏡画像診断支援プログラム)
Made by
Cybernet Systems Co., Ltd. (サイバネットシステム株式会社), with Showa University Northern Yokohama Hospital and Nagoya University
Used by
Japanese hospitals and clinics where colonoscopy specialists use it during polyp removal (not named)
Where
Japan
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Identifying Objects, Actions, and Events, Monitoring Processes, Materials, or Surroundings
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Assessment report, by authors with no tie to the system.

    Ministry of Health, Labour and Welfare (MHLW), Health Insurance Bureau, Medical Economics Division, Japan. 疑義解釈資料の送付について（その１）(Q&A on the interpretation of the fiscal 2024 medical fee schedule, part 1), office communication of 28 March 2024. Attachment 1 (medical fee schedule), Question 221, p. 医-58.

    用いない場合と比較して診断精度が上昇することが示されていると認められた製品」は何が含まれるか。（答）現時点では、｢内視鏡画像診断支援プログラム EndoBRAIN-EYE（医療機器承認番号 30200BZX0020800）｣が含まれる。

  2. Regulatory document, by authors with no tie to the system. Context or contrary evidence.

    Pharmaceuticals and Medical Devices Agency (PMDA), Japan. 資料２, PMDA提出資料, 第22回 医療機器・体外診断薬の承認審査や安全対策等に関する定期意見交換会 (Document 2, submitted by PMDA to the 22nd regular exchange meeting on the review and safety of medical devices and in vitro diagnostics), 7 October 2024. Table AIを活用した医療機器（プログラム）の承認状況（R6.9末現在） (approval status of AI-based program devices as of the end of September 2024).

    EndoBRAIN-EYE サイバネットシステム株式会社 内視鏡画像から大腸ポリープ病変の存在の検出支援

  3. News report, by authors with no tie to the system.

    Web医事新報 (Japan Medical Journal). 大腸内視鏡診断支援AI「EndoBRAIN-EYE」が保険収載（サイバネット）(Colonoscopy diagnosis-support AI EndoBRAIN-EYE listed for insurance (Cybernet)), Close-up Health Tech column. Posted 19 April 2024.

    本製品を使用することで専門医の腫瘍検出率が21.6％から31.2％に診断精度が上昇することが評価され「区分C2（新機能・新技術）」で、内視鏡的大腸ポリープ・粘膜切除術において、病変検出を支援するプログラム医療機器を用いて実施した場合の加算として、60点が付くこととなった。

Details

AI system

Workflow

The program analyzed colonoscopy video to detect the features of colorectal polyps and support their detection. Doctors with specialist knowledge and experience in colonoscopy used it during colonoscopic polyp and mucosal resection.

Follow-up

Conditions for replication

A doctor with specialist knowledge and experience in colonoscopy performs the procedure. The program is one that the ministry recognizes as raising diagnostic accuracy compared with not using it.

Entry details

Sector

Healthcare.

Purpose

Cybernet Systems built EndoBRAIN-EYE to analyze colonoscopy images in real time and help doctors detect polyps and other colorectal lesions.

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Cite this record

Peter H. Vartanian. (2026). EndoBRAIN-EYE wins a Japanese insurance add-on for better colonoscopy (AIBD-1161). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1161.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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