ABUS Examination
Volumetric breast ultrasound images are acquired.
Built for radiologists. Proven in practice.
QVIEW is a mustfor reading ABUS casesAT LEAST 3X FASTER*
QVCAD helps radiologists identify suspicious findings that might otherwise be overlooked - addressing a key concern in medical legal liability: missed cancers.
*Based on feedback from six experienced QVCAD users, who had interpreted an average of more than 20,000 ABUS cases each.
FDA ApprovedPurpose-built AI for ABUS
At least 3x fasterABUS case review*
Clinically ValidatedEvidence-led decision support
10+ YearsExperience in clinical practice
QVCAD in the reading workflow
QVCAD illustration on case review
QVCAD identifies lesions through CAD marks (green circles) and dark holes in the navigator image. CAD marks, whether accompanied by dark holes or not, indicate highly suspicious lesions, while dark holes without CAD marks suggest less suspicious or benign lesions.
Illustration of QVCAD indicators. Findings require physician interpretation. View full illustration →
Clinical evidence / FROC
Understanding the FROC curve
How QVCAD balances cancer detection and false-positive marks.
| Sensitivity | Specificity | FP/Volume | |
|---|---|---|---|
| CAD mark | 93% | 66% | 0.07 |
| Dark hole | 99% | 19% | 0.3 |
* Sensitivity and specificity are calculated on a per-patient basis. FP/Volume represents the average number of false-positive marks per ABUS view, measured using normal cases.
How QVCAD works
Intelligent support from exam to decision.
QVCAD analyzes Automated Breast Ultrasound images and presents marked findings for concurrent radiologist review.
AI Analysis
QVCAD evaluates the image data for suspicious findings.
Concurrent Review
AI marks are available during interpretation.
Clinical Decision
The radiologist applies expertise with added decision support.
Why QView
Built around the way radiologists read.
Clinical Confidence
Intelligent detection helps direct attention to findings that may require closer review.
Workflow Efficiency
Read ABUS cases at least 3x faster with QVCAD, based on experienced-user feedback.
Purpose-Built Technology
Developed specifically for Automated Breast Ultrasound—not adapted from another modality.
Clinical evidence
Performance measured in the reading room.
QVCAD is supported by clinical evaluation designed to measure both detection performance and workflow impact.
Explore the Evidence3x
Read ABUS cases at least 3× faster with QVCAD.*
*Based on feedback from six experienced QVCAD users, who had interpreted an average of more than 20,000 ABUS cases each.
Our story
Built by pioneers in breast imaging AI.
The team’s work spans the breakthroughs that made screening mammography possible, shaped digital breast imaging, pioneered CAD, advanced Automated Breast Ultrasound, and now power AI for ABUS.
1974
Rare-Earth Low-Dose Mammography
50-100x lower dose - helping make breast cancer screening possible.
1987
First Digital Tomosynthesis
Co-invented with Russell Morgan. U.S. Patent 4,598,369.
Foundation
R2 CAD
Pioneering computer-aided detection. Acquired by Hologic in 2006.
Innovation
Automated Breast Ultrasound
U-Systems advanced ABUS and was acquired by GE in 2012.
Today
QView Medical
FDA-approved AI purpose-built for ABUS.
“The future of breast imaging combines experienced radiologists with intelligent AI.”
QView Medical — Built for radiologists. Proven in practice.
Ready to see QVCAD?
Discover how FDA-approved AI can support your ABUS reading workflow.