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QView Medical

Built for radiologists. Proven in practice.

Read ABUS casesUP TO 3X FASTERwith QVCAD.*

FDA-approved AI. Essential to the ABUS reading workflow.

*Based on feedback from six experienced QVCAD users, who had interpreted an average of more than 20,000 ABUS cases each.

  • FDA Approved
  • Clinically Validated
  • 10+ Years in Practice
QVCAD display highlighting suspicious findings across bilateral automated breast ultrasound views
QVCAD AI-assisted interpretationAutomated Breast Ultrasound
FDA ApprovedPurpose-built AI for ABUS
Up to 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.

QVCAD indicator illustration with blue callouts: 1 identifies a green CAD circle, 2 identifies a dark hole, and 3 identifies the nipple.
1 CAD mark2 Dark hole3 Nipple

Illustration of QVCAD indicators. Findings require physician interpretation. View full illustration →

How QVCAD works

Intelligent support from exam to decision.

QVCAD analyzes Automated Breast Ultrasound images and presents marked findings for concurrent radiologist review.

01

ABUS Examination

Volumetric breast ultrasound images are acquired.

02

AI Analysis

QVCAD evaluates the image data for suspicious findings.

03

Concurrent Review

AI marks are available during interpretation.

04

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 up to 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 Evidence
3x

Read ABUS cases up to 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.

QView’s team brings decades of experience advancing computer-aided detection, Automated Breast Ultrasound, and clinical imaging workflows.

Foundation

R2 CAD

Early leadership in computer-aided detection.

Innovation

Automated Breast Ultrasound

Advancing screening for women with dense breast tissue.

Scale

Clinical Integration

Technology designed for practical radiology workflows.

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.

Request a Demo