Coronary Artery Calcium Model

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

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

This is operationalization of a Coronary Artery Calcium (CAC) scoring computer vision model that can predict cardiovascular disease risk. This will help clinicians identify and prioritize patients at high risk for cardiac events to intervene. The input is CT chest images and the output will be calcium scores and calcium masks that physicians can review to verify high patient cardiovascular risk. This will help clinicians identify and prioritize patients at high risk for cardiac events to intervene. It will improve the quality of veteran healthcare.

Expected benefits

We expect this project to improve patient care outcomes by helping direct provider attention to patients that were identified as high-risk via findings.

System outputs

The model will process medical images to produce a segmentation mask that shows providers whether or not there is disease and a calcium score that can help them find patients at high cardiovascular risk.

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

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

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