Neoplasms

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Adenoma

Colonic Neoplasms

Colonic Polyps

Polyps

Pathological Conditions, Anatomical

Neoplasms, Glandular and Epithelial

Neoplasms by Histologic Type

Intestinal Polyps

Colorectal Neoplasms

Intestinal Neoplasms

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Gastrointestinal Diseases

Colonic Diseases

Intestinal Diseases

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Cola

Colonoscopy Procedure is performed with EndoVigilant Software assisting the gastroenterologist during colonoscopy procedure.

Colonoscopy Procedure is performed without EndoVigilant Software assisting the gastroenterologist during colonoscopy procedure.

While using this device, colonoscopy will continue to be performed in the standard manner as is done without the use of this device. The video signal from the colonoscope will be fed into a computer running the EndoVigilant software in addition to the standard video output to the procedure monitor. The gastroenterologist performing the procedure will therefore be able to observe a standard colonoscopy video on the primary monitor and the augmented video on the second monitor. The gastroenterologist may rely on the second monitor (with augmented video generated from EndoVigilant software) for polyp detection, but the standard procedure monitor with the original feed will always be operational and available for maneuvers such as fast insertion, polypectomy etc.

EndoVigilant Software

Shai Friedland, MD

EndoVigilant software device augments existing colonoscopy procedure video in real-time by highlighting colon polyps and mucosal abnormalities. It is intended to assist gastroenterologists in detection of adenomas and serrated polyps. The device is an adjunctive tool and is not intended to replace physicians' decision making related to detection, diagnosis or treatment.

This study with an adaptive design measures the clinical benefit (increase in detection of adenomatous and serrated polyps) and increased risk (increased extraction of non-adenomas) during standard colonoscopy procedures when EndoVigilant software device is used.

This study will analyze the clinical benefit and risk of using the EndoVigilant polyp detection assistance software based device during screening and surveillance colonoscopy procedures. The study subjects will be randomized to a procedure with or without the use of EndoVigilant software. While using this device, colonoscopy will continue to be performed in the standard manner as is done without the use of this device. The video signal from the colonoscope will be fed into a computer running the EndoVigilant software in addition to the standard video output to the procedure monitor. The gastroenterologist performing the procedure will therefore be able to observe a standard colonoscopy video on the primary monitor and the augmented video on the second monitor. The gastroenterologist may rely on the second monitor (with augmented video generated from EndoVigilant software) for polyp detection, but the standard procedure monitor with the original feed will always be operational and available for maneuvers such as fast insertion, polypectomy etc.

The study will have an adaptive design with an interim analysis after 700 subjects to re-estimate the final sample size of the study.

The study will include a diverse set of endoscopists across age, sex, years of experience and practice settings. In order to comply with FDA guidance this pivotal study will only include endoscopists with ADR of 25-40% in their routine clinical practice. At the discretion of Endovigilant, endoscopists with an ADR of \<25% or \>40% may be included for a separate exploratory analysis to examine the impact of the system on endoscopists with ADR outside of the FDA-mandated range. But in accordance with FDA guidance, the procedures done by these endoscopists will not be included in the primary endpoint analysis.

Random allocation stratified by gastroenterologist 50% randomized to colonoscopy procedure with device and 50% randomized to colonoscopy procedure without device

A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures

A Prospective, Multi-Center, Randomized Controlled Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures

Average Number of Adenomas Per Colonoscopy for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Percent of extractions that are adenomas per Colonoscopy for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Average Number of Serrated Polyps per Colonoscopy for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Average Number of Non-adenomatous, non-serrated polyps per colonoscopy for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Adenoma Detection Rate in Screening Colonoscopies for study subjects undergoing screening colonoscopy procedures, separately calculated for each of the study arms.

Serrated Polyp Detection Rate in Screening Colonoscopies for study subjects undergoing screening colonoscopy procedures, separately calculated for each of the study arms.

Adenoma Detection Rate in All Colonoscopies for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Serrated Polyp Detection Rate in All Colonoscopies for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Adenomatous Polyp Location Distribution Per Colonoscopy (Distal and Proximal Colon) for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Adenomatous Polyp Size Distribution Per Colonoscopy \<6mm, 6-10mm, or \>=10mm) for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Adenomatous Polyp Distribution by Paris Classification (Ip/Is, IIa/b/c) Per Colonoscopy for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Average time duration from the time when cecum is reached and the end of the colonoscopy procedure for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

Average duration of the entire colonoscopy procedure for all study subjects undergoing colonoscopy procedures, separately calculated for each of the study arms.

EndoVigilant Inc

Routine Colonoscopy with the use of Skout

The Computer Aided Detection device, Skout, is designed to help endoscopists detect potential colorectal polyps during colonoscopies. The system performs automated real-time analysis on endoscopic video data to identify potential polyps and produces an informational visual aid around the appropriate sections of the video frames on a display monitor.

Computer Aided Detection device

Aasma Shaukat, MD, MPH

The aim of this study is to evaluate the clinical benefit and safety of using a computer aided detection device, Skout, for real-time polyp detection in colonoscopy procedures with the indication of screening or surveillance. One of the reasons for the development of interval colorectal cancers is polyps missed during colonoscopy. Our hypothesis is that with the aid of Skout, the adenomas detected per colonoscopy will increase, and it is plausible to believe that this increase in detection could reduce the incidence of interval cancers.

Computer Aided Detection of Polyps in Colonoscopy

Randomized, Controlled Trial of a Computer Aided Detection Device in Standard Colonoscopy

The total number of adenomas detected divided by the total number of colonoscopies.

The total number of adenomas and serrated lesions detected divided by the total number of extractions.

The percentage of participants aged ≥50 years undergoing first-time screening colonoscopy who have one or more conventional adenomas detected.

The total number of polyps with histology or serrated adenoma, traditional serrated adenoma or serrated lesion with cytological dysplasia, excluding hyperplastic polyps.

The mean recommended timeframe for follow up colonoscopy.

University of Minnesota

Iterative Scopes, Inc

Skin and Connective Tissue Diseases

Breast Neoplasms

Breast Diseases

Skin Diseases

The MammoDetector™ Pro is a computer-aided software intended to identify and mark regions of interest on standard mammographic views to bring them to the attention of the radiologist after the initial reading has been completed. Thus, the device assists the radiologist in minimizing observational oversights by identifying areas on the original mammogram that may warrant a second review

Screening

Louise Ebbert

The study objective is to assess the performance of the MammoDetector Pro to correctly mark biopsy-proven breast cancers imaged on the Siemens Mammomat Novation FFDM system compared to conventional film-screen mammography.

The study design is a controlled study. The study is designed to demonstrate that the performance of the MammoDetector™ Pro on biopsy-proven malignant cases obtained with the Siemens Mammomat NovationDR FFDM system is not inferior to its performance on biopsy-proven malignant cases obtained with conventional film-screen mammography (FSM). The overall sensitivity of the MammoDetector™ Pro with both imaging modalities will be compared. Furthermore, the study is designed to demonstrate that the false marks noted by the MammoDetector™ Pro on routine screening "Normal" cases obtained with the FFDM system is not inferior those marked by the software on routine screening "Normal" cases obtained with conventional film-screen mammography (FSM).

Case Collection Study for Collecting Images for the Development and Validation of Computer Aided Detection Software

A Multi-center, Controlled, Consecutive Collection of Screening or Diagnostic Full Field Digital Mammography Images Acquired on the Mammomat Novation DR System for Development and Validation of Computer Aided Detection (CAD) Software

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures	NCT04555135	Colon Polyp Colon Neoplasm Colon Adenoma	EndoVigilant So...	45 Years -	EndoVigilant Inc
A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures	NCT04555135	Colon Polyp Colon Neoplasm Colon Adenoma	EndoVigilant So...	45 Years -	EndoVigilant Inc
Computer Aided Detection of Polyps in Colonoscopy	NCT04754347	Colorectal Poly...	Computer Aided ...	40 Years -	Iterative Scopes, Inc
Case Collection Study for Collecting Images for the Development and Validation of Computer Aided Detection Software	NCT00756834	Breast Cancer	Screening	40 Years -	Siemens Medical Solutions
A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures	NCT04555135	Colon Polyp Colon Neoplasm Colon Adenoma	EndoVigilant So...	45 Years -	EndoVigilant Inc

Spots Global Cancer Trial Database for computer aided detection