ENDO-AID CADe
The AI[D] in Endoscopy

ENDO-AID CADe is a computer-aided detection application that uses AI to suggest the potential presence of lesions such as colonic polyps, malignant neoplasms and adenomas.

An increase in ADR (adenoma detection rate) and therefore an improvement in the prevention of colorectal cancer (CRC) 1 is supported when using CADe during coloscopic procedures. 2

Providing a Safety Net

The visual support provided by ENDO-AID CADe may contribute to the overall improvement of clinical outcomes. 2
The system will provide permanent, non-distracted support, may help to detect difficult-to-catch lesions and aims to accelerate the learning curve.

*The weighted average of current clinical evidence that involves ENDO-AID CADe.

Experts' Impression of Artificial Intelligence in Gastroenterology

"ENDO-AID during colonoscopy procedures contributes to improve adenoma detection especially for our endoscopy-trainees and therefore helps to prevent colorectal cancer and to decrease the risk of interval-cancer."

Gabriele Wurm Johansson, MD, PhD
Skåne University Hospital in Malmö, Sweden

"ENDOCUFF VISION™ allows me to profit most from ENDO-AID CADe. Thanks to ENDOCUFF´s enhanced mucosa visualization, CADe has the potential to detect even more polyps and colonic lesions."

Yuichi Mori, MD, PhD
Oslo University Hospital

Watch the video from Yuichi Mori >

Working Hand in Hand With Artificial Intelligence
"As a ‘high-detector’ endoscopist I was reluctant to use Artificial Intelligence as a detection aid. I went through all the first three steps of the feedback staircase: Rejection – It is just another silly computer aid, defense – studies show that it helps mostly for low-detectors, explanation – if I use it I might start relying too much on it and therefore diminish my own detection. It even went as far as to self-deception – I saw this polyp half a second before AI did. It took just a few weeks before I reached the step of understanding when AI found a polyp that I truly missed- tiny, but a real adenoma. I was staring at the green square around it for quite a while before I realized that I indeed did not see the polyp. Shortly after, it happened again twice. It was only then I reached the last step of feedback, and I changed my working practice. Now I use AI routinely and I have gained piece of mind thanks to it."

Dr. Olga Bednarska, MD, PhD
Linköping University, Linköping, Sweden

Fully Integrated into the Endoscopic Workflow

Design

Specifically designed to host and run demanding AI applications

Speed

Almost-real-time response without delays thanks to phenomenal speed

Control

Direct control from the endoscope, the system’s front-panel or the CV-1500 touch-panel

Compatibility

Fully compatible with several EVIS X1, EXERA lll and LUCERA ELITE endoscopes*

*Exceptions might apply in certain regions.

Virtual Detection Support

An intuitive marker on the screen alerts the user to the presence of a potential lesion in real time to allow for a smooth workflow.

Individual Level of Support

ENDO-AID aims to increase the detection of lesions. The system may help to detect flat lesions, lesions in dark areas and lesions at the edge of the image. 2 For higher flexibility, the user can choose between two different detection types, which differ in their sensitivity and specificity. 

Match Your Preferences

Two different modes allow for preferred user settings. Findings are either displayed by a marker directly on the endoscopic image or in a subimage. 

Combining Strengths

ENDOCUFF VISION™ maximizes visualization by flattening mucosal folds while helping improve control during colonoscopy. 3 This additional mucosa exposure facilitates ENDO-AID CADe detection support, potentially catching even more colonic lesions.
Together, they aim to increase ADR and improve the quality of colonoscopy.

More about ENDOCUFF VISION™

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Clinical Evidence

  1. 1.Adenoma Detection Rate and Risk of Colorectal Cancer and Death. Corley, D.A.; Jensen, C.D.; Marks, A.R.; et al. . N Engl J Med. 2014; 370: 1298-1306.
  2. 2.The study on artificial intelligence (AI) colonoscopy in affecting the rate of polyp detection in colonoscopy: A single centre retrospective study. Wong, Y.T; Tai T.F.; Wong, K.F.; et al Surg Pract. 2022;1-5
  3. 3.Higher Adenoma Detection Rates with Endocuff-Assisted Colonoscopy — A Randomized Controlled Multicenter Trial Floer M, Biecker E, Fitzlaff R, et al. PLoS ONE. 2014;9(12):e114267
  4. 4.Usefulness of a novel computer-aided detection system for colorectal neoplasia: A randomized controlled trial. Gimeno-García, A.Z.; Negrin, D.H.; Anjara Hernández, A.; et al Gastrointestinal Endoscopy
  5. 5.Artificial intelligence improves adenoma detection rate during colonoscopy Schauer, C.; Chieng, M.; Wang, M.; et al The New Zealand Medical Journal., Vol 135 No 1561: 2 September 2022