Koios
Department of Veterans Affairs · VHA: Veterans Health Administration
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
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
FDA Cleared. Used with Automated Breast Ultrasound (ABUS). Classifies breast ultrasound lesions and automates reporting for improved efficiency and streamlined workflows. Increased sensitivity and specificity with reduced variability.
Expected benefits
Reduces unnecessary treatments (existing BI-RADS 3's can be accurately and safely downgraded) and provides probability of malignancy aligned to BI-RADS categorization.
System outputs
Classifies breast ultrasound lesions
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