Trending...
- Finland's €1.3 Billion Digital Gambling Market Faces Regulatory Tug-of-War as Player Protection Debate Intensifies
- "They Said It Was Impossible": This Bottle Turns Any Freshwater Source Into Ice-Cold, Purified Drinking Water in Seconds
- High-Margin Energy & Digital Infrastructure Platform Created after Merger with Established BlockFuel Energy, Innovation Beverage Group (NAS DAQ: IBG)
LOS ALTOS, Calif. - ncarol.com -- QView Medical, a breast cancer detection pioneer and maker of the FDA-approved artificial intelligence (AI) software system for breast cancer screening, and GE Healthcare today announced that QView's QVCAD software can be launched on GE Healthcare's Invenia™ ABUS 2.0 (Automated Breast Ultrasound), which has an open platform technology that allows the integration of third-party AI tools for the optimization of the reading workflow.
Invenia ABUS 2.0 is the first FDA-approved Ultrasound supplemental breast screening technology specifically designed for detecting cancer in dense breast tissue. The powerful AI Assistant leverages intelligent algorithms to assist in detecting breast lesions, helping physicians increase their reading speed with confidence.
Following years of development, QVCAD, which was previously connected to the Invenia ABUS 2.0 through an external PC and server, is now allowing clinicians to access the software through the Invenia ABUS Viewer, streamlining clinical workflow with reducing reading time by up to 33%1, while improving clinical outcomes with experience up to 93% sensitivity for lesion detection2.
Mammography misses one third of cancers in dense breasts3, and while supplemental screening finds more cancers, it requires reasonable callback and biopsy rates4. Dense breasts increase cancer risk by 4-6 times5, affecting more than 40 percent of women3. Early cancer detection is critical to increased survival rates and improved patient care and can reduce the cost of care6.
More on ncarol.com
"ABUS combined with QVCAD provides the next crucial step in supplemental breast screening for women with dense breasts," said Bob Wang, Chairman, and CEO of QView Medical.
Brian McEathron, Vice President, General Imaging Ultrasound at GE Healthcare, said, "Our goal is to support clinicians by enabling the timely, accurate diagnosis and treatment of cancer in dense breasts. The integration of QVCAD into the ABUS reading process is a breakthrough for streamlining workflow and enhancing clinical confidence. Identifying breast cancer at the earliest possible stage has important prognostic implications: a greater number of available treatment options, increased survival rates and an improved quality of life."
QView supports the #AMIDENSE public health effort to raise awareness of breast density as a major risk factor.
About QView Medical, Inc.
QView Medical develops and sells AI image-analysis systems for the reading of 3D Automated Breast Ultrasound Systems (ABUS) The QView team has been the leader AI technologies for over twenty-five years including the development of R2 mammography CAD, R2 lung CT CAD, U-Systems ABUS and QView AI/QVCAD. QView is located in Los Altos, California. Visit our website www.qviewmedical.com for more information.
More on ncarol.com
--
Invenia ABUS 2.0 is the first FDA-approved Ultrasound supplemental breast screening technology specifically designed for detecting cancer in dense breast tissue. The powerful AI Assistant leverages intelligent algorithms to assist in detecting breast lesions, helping physicians increase their reading speed with confidence.
Following years of development, QVCAD, which was previously connected to the Invenia ABUS 2.0 through an external PC and server, is now allowing clinicians to access the software through the Invenia ABUS Viewer, streamlining clinical workflow with reducing reading time by up to 33%1, while improving clinical outcomes with experience up to 93% sensitivity for lesion detection2.
Mammography misses one third of cancers in dense breasts3, and while supplemental screening finds more cancers, it requires reasonable callback and biopsy rates4. Dense breasts increase cancer risk by 4-6 times5, affecting more than 40 percent of women3. Early cancer detection is critical to increased survival rates and improved patient care and can reduce the cost of care6.
More on ncarol.com
- Arbutus Medical Raises C$9.3M to Accelerate Growth of Surgical Workflow Solutions Outside the OR
- From Sleepless Nights to Sold-Out Drops: Catch Phrase Poet's First Year Redefining Motivational Urban Apparel
- Launching at 10AM Eastern: The Bottle That Chills and Purifies Any Water — No Ice Required
- How Specialized Game Development Services Are Powering the Next Wave of Interactive Entertainment
- Don't Settle for a Lawyer Who Just Speaks Spanish. Demand One Who Understands Your Story
"ABUS combined with QVCAD provides the next crucial step in supplemental breast screening for women with dense breasts," said Bob Wang, Chairman, and CEO of QView Medical.
Brian McEathron, Vice President, General Imaging Ultrasound at GE Healthcare, said, "Our goal is to support clinicians by enabling the timely, accurate diagnosis and treatment of cancer in dense breasts. The integration of QVCAD into the ABUS reading process is a breakthrough for streamlining workflow and enhancing clinical confidence. Identifying breast cancer at the earliest possible stage has important prognostic implications: a greater number of available treatment options, increased survival rates and an improved quality of life."
QView supports the #AMIDENSE public health effort to raise awareness of breast density as a major risk factor.
About QView Medical, Inc.
QView Medical develops and sells AI image-analysis systems for the reading of 3D Automated Breast Ultrasound Systems (ABUS) The QView team has been the leader AI technologies for over twenty-five years including the development of R2 mammography CAD, R2 lung CT CAD, U-Systems ABUS and QView AI/QVCAD. QView is located in Los Altos, California. Visit our website www.qviewmedical.com for more information.
More on ncarol.com
- Dan Williams Promoted to Century Fasteners Corp. – General Manager, Operations
- Ski Johnson Inks Strategic Deals with Three Major Food Chain Brands
- NIL Club Advances Agent-Free NIL Model as Oversight Intensifies Across College Athletics
- Atlanta Magazine Names Dr. Rashad Richey One of Atlanta's Most Influential Leaders in 2026 as the FIFA World Cup Approaches
- Apostle Margelee Hylton Announces the Release of Third Day Prayer
--
- Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast Tissue (Yulei Jiang). Read More: https://www.ajronline.org/doi/10.2214/AJR.18.19516
- Performance and Reading Time of Automated Breast US with or without Computer-aided Detection. Read More: https://pubs.rsna.org/doi/10.1148/radiol.2019181816
- Pisano et al. Diagnostic Performance of Digital versus Film Mammography
- Mandelson et al. Journal Natl Cancer Inst 2000; 92:1081–1087 for Breast –Cancer Screening. NEJM 2005; 353:1773
- Boyd, et al, NEJM Jan 2007
- Blumen, et al. Comparison of treatment costs for breast cancer by tumor stage and type of service
Contact
Robert M. Foley
Vice President, Marketing
QView Medical, Inc. 1-844-643-9527
info@qviewmedical.com
Robert M. Foley
Vice President, Marketing
QView Medical, Inc. 1-844-643-9527
info@qviewmedical.com
Source: QView Medical, Inc
0 Comments
Latest on ncarol.com
- Unseasonable Warmth Triggers Early Pest Season Along I-5 Corridor
- Bug Busters Expands Service Footprint With New Carrollton, Georgia Branch
- Why KULR Could Be a Quiet Enabler of Space-Based Solar Power (SBSP) Over The Long Term: KULR Technology Group, Inc. (NY SE American: KULR)
- Why Finland Had No Choice But to Legalize Online Gambling
- High-Margin Energy & Digital Infrastructure Platform Created after Merger with Established BlockFuel Energy, Innovation Beverage Group (NAS DAQ: IBG)
- iFLO Pro Launches Its Groundbreaking iFLO Pro Mini At The 2026 AHR Expo In Las Vegas
- TL International Group Becomes First Global Operator to Fully Migrate to Pulsant's Dedicated Car Rental Cloud
- Diveroli Investment Group Files 13D in PetMed Express, Highlights Strategic Value, Asset Floor, and Multiple Takeover Pathways
- Deep Learning Robotics (DLRob) Announces Pre-Launch of Zero-Teach and Teach-by-Demonstration Technology for Kitting Applications
- The Quasar Dipole Phenomenon is likely just a complex systematics artifact
- The Rise of Comprehensive Home Water Treatment Systems
- Yazaki Innovations to Introduce First-Ever Prefabricated Home Wiring System to U.S. Residential Market in 2026
- Bisnar Chase Named 2026 Law Firm of the Year by Best Lawyers
- Ace Industries Welcomes Jack Polish as Controller
- Senseeker Machining Company Acquires Axis Machine to Establish Machining Capability for Improved Supply Chain Control and Shorter Delivery Times
- VC Fast Pitch Is Coming to Maryland on March 26th
- Patent Bar Exam Candidates Achieve 30% Higher Pass Rates with Wysebridge's 2026 Platform
- Municipal Carbon Field Guide Launched by LandConnect -- New Revenue Streams for Cities Managing Vacant Land
- Hoy Law Wins Supreme Court Decision Establishing Federal Trucking Regulations as the Standard of Care in South Dakota
- Dr. Rashad Richey's Indisputable Shatters Records, Over 1 Billion YouTube Views, Top 1% Podcast, 3.2 Million Viewers Daily
