QView Medical

Los Altos, CA All United States companies → — Founded 2006

Imaging AI Specialist Specialty-Focused AI

Oncology Radiology

Oncology AI Radiology & Imaging AI

Series A — $6.76M

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Products

QVCAD System

QView Medical

Oncology AI

QVCAD System is an FDA-approved AI-powered Computer-Aided Detection (CAD) and image processing software for 3D Automated Breast Ultrasound (ABUS) screening, designed to aid radiologists in detecting breast lesions in women with dense breast tissue.

Custom

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About QView Medical

QView Medical is a Silicon Valley-based private company that specializes in developing and selling AI image-analysis systems for 3D Automated Breast Ultrasound Systems (ABUS) for breast cancer screening. Their flagship product, QVCAD, is an FDA-approved artificial intelligence software system designed to assist physicians in detecting breast lesions, particularly crucial for women with dense breast tissue where traditional mammography can be less effective.

QVCAD integrates with leading ABUS platforms, such as GE Healthcare’s Invenia™ ABUS 2.0, allowing clinicians to access the software directly through the ABUS Viewer. This integration streamlines clinical workflow, with studies indicating a potential reduction in reading time by up to 33% while improving sensitivity for lesion detection. The company’s focus is on advancing early cancer detection, which is vital for increasing survival rates and enhancing patient care.

The QView team has a long-standing history and leadership in Computer-Aided Detection (CAD) and ABUS development, having been involved in securing multiple PMA approvals for mammography CAD, lung CT CAD, and ABUS systems over two decades.

Focus Areas

Breast cancer detection AI 3D Automated Breast Ultrasound dense breast tissue computer-aided detection (CAD)

Business Intelligence

Key Investors	Xandex Ventures, Startup Capital Ventures
Partnerships	GE Healthcare, Traf Intercontinental, SimonMed Imaging, Eve Wellness
Technology	AI image-analysis systems, deep learning algorithms, computer-aided detection (CAD) for 3D ABUS, open platform technology for integration with GE Healthcare's Invenia ABUS 2.0, QVCAD Navigator image, C-thru images, artificial neural networks, DICOM format input
FDA Clearances	1 cleared products (estimated)

What Physicians Need to Know

Specialization: Breast Cancer Detection

QView Medical specializes in enhancing breast cancer detection, particularly in women with dense breast tissue, where mammography can be less effective. Their core product, QVCAD, is an FDA-approved artificial intelligence (AI) software system designed for breast cancer screening.

Specialization: AI & Computer-Aided Detection (CAD)

The company is a pioneer in Computer-Aided Detection (CAD) software for 3D Breast Ultrasound screening systems. QVCAD leverages intelligent deep learning algorithms, image pattern recognition, and artificial neural networks to assist in detecting breast lesions.

Specialization: 3D Automated Breast Ultrasound (ABUS)

QView Medical's QVCAD system is specifically designed to process and aid in the reading of images generated by 3D Automated Breast Ultrasound (ABUS) systems, such as GE Healthcare's Invenia ABUS 2.0. This multi-modality approach is crucial for women with dense breast tissue.

Key Differentiator: First FDA-Approved Concurrent Reading CAD

QVCAD is the first and only FDA PMA-approved CAD system for concurrent reading of 3D Automated Breast Ultrasound (ABUS) exams. Unlike other CAD systems typically used as a second read, QVCAD allows clinicians to review ABUS images concurrently with CAD highlights, streamlining workflow.

Key Differentiator: Proven Efficiency and Accuracy

Clinical studies have shown that QVCAD can reduce ABUS exam interpretation time by up to 33% while maintaining diagnostic accuracy and improving clinical outcomes with up to 93% sensitivity for lesion detection.

Key Differentiator: Expert Leadership in CAD Development

The QView Medical team comprises individuals with over 50 years of combined experience in developing and bringing CAD software to market, including the world's first CAD for mammography (R2 Technology) and the U-Systems ABUS system.

Technology Stack: Deep Learning AI & Image Processing

The QVCAD system utilizes sophisticated deep learning algorithms, image pattern recognition processes, and artificial neural networks to detect suspicious areas in breast tissue. It processes 3D ABUS images and displays them with CAD marks (green circles) highlighting potential abnormalities.

Physician Tip

For physicians, QView Medical's QVCAD system offers a significant advantage in screening women with dense breast tissue, where mammography alone may miss cancers. Utilize the concurrent reading feature to integrate AI assistance directly into your primary review workflow, potentially reducing reading time and enhancing diagnostic confidence. While the AI highlights suspicious areas, always perform a comprehensive review of the ABUS images, as QVCAD is intended as an aid to the radiologist, not a replacement for physician judgment. The system can also be particularly beneficial for new ABUS users to help reduce the learning curve.

QView Medical's QVCAD software is designed for seamless integration with 3D Automated Breast Ultrasound systems, specifically GE Healthcare's Invenia ABUS 2.0. The Invenia ABUS 2.0 features an open platform that facilitates the integration of third-party AI tools. QVCAD can be launched directly on the Invenia ABUS Viewer, which streamlines the clinical workflow by eliminating the need for external PCs or servers that were previously required.

At a glance

Founded 2006

HQ Los Altos, CA · United States

Team size 6

CEO Bob Wang

Funding Series A — $6.76M

FDA clearances 1 (estimated)

Products 1

Products by QView Medical

1 product in the directory

QVCAD System

QView Medical

Oncology AI

Custom

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Press & Coverage

PR Newswire

QView Medical and Eve Wellness Announce Partnership to Advance Direct-to-Consumer Breast Cancer Screening With FDA-Approved AI

QView Medical has partnered with Eve Wellness to offer direct-to-consumer breast cancer screening using QView's FDA-approved AI for breast ultrasound cancer detection. This collaboration aims to provide accessible and effective screening, particularly for women with dense breast tissue and those under 40.

2025-10

PRLog

QView Medical and GEHC Sign a Distribution Agreement

QView Medical and GE Healthcare have signed a distribution agreement for QView Medical's AI-QVCAD software system to be added to GEHC's portfolio of breast imaging AI solutions. This partnership aims to accelerate the acceptance of 3D breast ultrasound as a supplemental screening for women with dense breast tissue.

2023-01

PR Newswire

QView Medical maintains leadership position in AI-powered breast cancer screening technology through alliance with GE Healthcare

QView Medical's FDA-approved QVCAD software can now be launched directly on GE Healthcare's Inveniau2122 ABUS 2.0, streamlining workflow and enhancing clinical confidence in detecting breast cancer in dense breast tissue. This integration reduces reading time by up to 33% and improves lesion detection sensitivity to 93%.

2021-11

PR Newswire

UC Davis Health Adopts Qview Enterprise Software to Support Hospital-Wide Quality Initiative

Qview Health, Inc. (distinct from QView Medical) has entered a 5-year agreement with UC Davis Medical Center to implement its Qview Enterprise software for tracking adverse events in healthcare across all departments. This software aims to improve patient safety and quality by enabling quicker identification and correction of safety concerns.

2021-03

QView Medical, Inc.

QVIEW MEDICAL SIGNS EUROPEAN DISTRIBUTION AGREEMENT TO SELL AI/CAD FOR BREAST CANCER DETECTION

QView Medical and Traf Intercontinental announced a distribution agreement for Traf Intercontinental to sell QView Medical's QVCAD System to breast imaging clinics in Europe.

2020-06

BioSpace

QView Medical Showcases FDA Approved QVCAD, First AI System for Concurrent Reading of ABUS Exams at RSNA

QView Medical showcased QVCAD, the first FDA-approved AI CAD system for concurrent reading of Automated Breast Ultrasound (ABUS) exams, at the 104th Annual Radiological Society of North America (RSNA) meeting. The system reduces interpretation time of screening ABUS exams while maintaining diagnostic accuracy.

2018-11

QView Medical, Inc.

FDA PMA Approval for QVCADu2122 for the GE Inveniau2122 3D Automated Breast Ultrasound System (u201cABUSu201d)

QView Medical Inc. announced FDA PMA Approval for its QVCADu2122 system, the first Computer Aided Detection (CAD) system for 3D Automated Breast Ultrasound Screening, specifically for use with the GE Inveniau2122 3D ABUS.

2017-12

RSNA Press Room

QVIEW'S ARTIFICIAL INTELLIGENCE TECHNOLOGY THE u201cQVCADu201d AND ITS POTENTIAL IMPACT ON BREAST CANCER SCREENING AND A CLEAR PATH TO SAVING MANY MORE LIVES

This white paper describes how QView's artificial intelligence deep-learning neural network algorithm, QVCAD, combined with automated breast ultrasound systems (ABUS), could serve as a powerful supplement to current breast cancer screening modalities, particularly for women with dense breast tissue.

2014-06

Frequently Asked Questions

How does QView Medical's AI-powered 3D Automated Breast Ultrasound (ABUS) system enhance breast cancer detection, particularly in women with dense breast tissue?

QView Medical's QVCAD system utilizes deep learning AI to analyze 3D ABUS images, identifying suspicious areas that might be missed by mammography, especially in dense breast tissue. This technology is designed to improve user productivity and diagnostic accuracy by highlighting potentially malignant lesions and reducing interpretation time by up to 33%.

What specific products does QView Medical offer for breast cancer screening, and how do they integrate into existing radiology workflows and PACS systems?

QView Medical primarily offers the QVCAD system, a software solution comprising a CAD engine and a Viewer subsystem. This system integrates seamlessly into existing radiology workflows by receiving DICOM images directly from ABUS acquisition systems or PACS, displaying native ABUS images concurrently with AI-generated output.

What regulatory clearances and clinical evidence support the use of QView Medical's AI and Computer-Aided Detection (CAD) solutions?

QVCAD holds FDA PMA (Premarket Approval) for concurrent reading with ABUS systems and has received the CE Mark for European use. Clinical studies demonstrate that QVCAD significantly reduces reader review time while maintaining diagnostic accuracy, with the AI trained on over 20,000 ABUS cases, including 3,000 biopsy-proven cancers.

How does QView Medical address potential concerns regarding false positives or over-diagnosis often associated with AI and CAD systems in breast imaging?

QView Medical's QVCAD system is engineered to enhance diagnostic accuracy while minimizing false positives, a common concern with traditional CAD. It is the first FDA PMA-approved CAD system for concurrent reading, meaning it aids the initial interpretation rather than acting as a secondary review that could increase unnecessary recalls.

What is the typical pricing structure for QView Medical's ABUS systems and associated AI software, and what level of technical support and training is provided?

While specific pricing for QVCAD is not publicly detailed, it is a software package that integrates with ABUS systems like GE Healthcare's Invenia ABUS 2.0. QView Medical provides comprehensive user training post-installation, covering system operation, guided case studies, and proficiency assessment, delivered by qualified personnel.

What is QView Medical's market position, and what partnerships or indicators of company stability should a healthcare administrator consider?

QView Medical is recognized as a leader in AI-powered ultrasound CAD for dense breast tissue, with its team having a long history in CAD and ABUS development. The company maintains a strategic alliance with GE Healthcare for integration with their ABUS systems and has established partnerships for broader market reach, indicating a stable market presence as a private, Silicon Valley-based company with significant funding.

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