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

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.

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™

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

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