QVCAD System

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

Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

QVCAD is designed to process and display a projection image, using the ABUS image stack on a customer supplied computer, and monitor it for review, with certain areas highlighted and/or marked for attention.

Expected benefits

Identify potentially suspicious findings in breast scans.

System outputs

The QVCAD CAD engine employs several image pattern recognition processes and artificial neural networks to detect suspicious areas of breast tissue 5mm or more in diameter that have characteristics similar to breast lesions. It inspects every tissue location in the 3-D ABUS images it processes with dedicated algorithms. These algorithms characterize the volumetric region surrounding each location by automatically extracting features that have been determined to represent suspicious signs. These features include typical ultrasound image features described in the radiological literature, such as region boundary, margin, echo pattern, orientation, posterior enhancement, architectural distortions, etc. Using those features, the QVCAD CAD engine generates a score for each suspicious area to distinguish potential breast lesions from normal breast tissue.

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

Not reported

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