Patented AI Technology to Detect & Size Polyps

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Artificial Intelligence & Machine Learning

*Clinical Decision Support Software (CDSS)

Detection & Sizing Decision Support in Real-Time During a Colonoscopy Procedure

Argus is vendor-neutral technology by integrating with existing ERWs/EHRs, scopes and processors to create the least amount of workflow changes for clinicians. Argus is launched during the procedure to assist with the detection and sizing of abnormalities utilizing artificial intelligence and machine learning. Argus simultaneously captures the highest quality images and video from the processor to aid in the decision making using CADe (computer-aided detection) and CAPs® (computer-aided sizing) for the clinician to determine a treatment plan and generate reports. Utilizing Argus® during a colonoscopy can increase Adenoma Detection Rates (ADRs) and improve patient recall times.

Sizing

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Argus assists the clinician in assessing polyp size during a colonoscopy using machine learning and artificial intelligence algorithms to help standardize the polyp size estimates within the patient’s EHR in a way that guides the clinician’s visual estimates. This helps inform the clinician in determining appropriate surveillance intervals for the patient.

Detection

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Argus assists in the detection of polyps by providing a separate image, based on information in the patient’s EHR, that shows highlighted areas of possible adenomatous or serrated tissue for a closer inspection by the clinician. It does not alter the image provided by the colonoscope processor.

Argus Assists Clinicians in:

Identifying Adenomas

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Reducing Miss Rates

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Improving Patient Recall

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Initial Estimate of Polyp & Non-Polypoid Lesion Sizing

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This vendor-neutral technology allows the utilization of current processors and is independent of ERWs/EMRs.

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Utilizing a robust database of videos and images, Argus has vast abnormality identification intelligence to assist clinicians with detection and sizing of all types of polyps, including flat.

Argus Users Increased Polyp Detection by 19%

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Utilizing a robust database of videos and images, Argus has vast polyp identification intelligence to assist
clinicians with detection and sizing of all types of polyps, including flat.

1New England Journal of Medicine. 2014 Apr 3; 370(14):1298–1306. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036494

Argus Users Have a Built-In Second Observer

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Utilizing a second observer can improve adenoma detection rate (ADR)2 .
2 Xu L, Zhang Y, Song H, Wang W, Zhang S, Ding X. Nurse Participation in Colonoscopy Observation versus the Colonoscopist Alone for Polyp and Adenoma Detection: A Meta-Analysis of Randomized, Controlled Trials. Gastroenterol Res Pract. 2016;2016:7631981. doi:10.1155/2016/7631981

Contact Us For More Information

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866 363 6763

sales@argusml.com

*Argus is clinical decision support software that functions within an EHR, and is not intended for use as a medical device. It does not make a diagnosis, identify suspected adenomas, or direct treatment decisions, but it does organize information for the clinician relating to polyps. It is not intended to substitute for the advice of a clinician. The clinician should always use proper judgment in patient care, and should disregard Argus recommendations where clinically appropriate.

Argus

U.S. Patent and Trademark Office patent, number 10,957,043, for Argus®, powered by EndoSoft®

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