Computer Aided Detection (CADe) of Neoplasia during Colonoscopy - “GI Genius”

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

High-impactSource: a) High-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Health and Medical

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The device improves endoscopy quality by aiding neoplastic lesion detection during procedures. Multiple studies and meta-analyses have found these devices increase adenoma detection rates (ADR), a well-established metric for colonoscopy quality that is related to colon cancer incidence and death. Randomized implementation of the devices across VHA facilities allowed for a pragmatic evaluation of the impact of these devices on ADR. The evaluation demonstrated that the provision of colonoscopy Computer Aided Detection devices resulted in a statistically significant 21% increase in the odds of adenoma detection and an absolute increase in ADR of approximately 4% compared to colonoscopy without CADe.

Expected benefits

These devices demonstrably improve endoscopy quality within the VHA, which in turn improves outcomes for Veterans, ultimately reducing morbidity and mortality. Multiple studies and meta-analyses have found these devices increase adenoma detection rates (ADR), a well-established metric for colonoscopy quality that is related to colon cancer incidence and death. Randomized implementation of the devices across VHA facilities allowed for a pragmatic evaluation of the impact of these devices on ADR. The evaluation demonstrated that the provision of colonoscopy Computer Aided Detection devices resulted in a statistically significant 21% increase in the odds of adenoma detection and an absolute increase in ADR of approximately 4% compared to colonoscopy without CADe.

System outputs

During endoscopy, the CADe device automatically detects, and highlights suspected neoplastic lesions / polyps in real time. A highlighted rectangle automatically surrounds suspected lesions. No results or data are tracked or automatically documented. The device physically connects to existing endoscopes, video processors, and display monitors, but does not connect to the VA network.

Technology

AI classification

Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).

System name(s)

Not reported

Custom-developed code

No

Public source code

www.medtronic.com ↗

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported