Quantitative Insights, Inc. (QI) was formed to realize the clinical and commercial value of QuantX, a Computer-Aided Diagnosis system to aid Radiologists in more accurate diagnosis of breast cancer. Developed in the labs and clinics of the University of Chicago to improve outcomes while, at the same time, significantly reducing costs, QuantX addresses critical needs of clinicians, practice administrators and patients. The goal of quantitative insights is to provide the world’s first and only breast imaging decision support system with direct correlation to known pathology. Quantitative Insights is dedicated to improving patient management by harnessing [...]

CureMetrix’s research is focused on leveraging artificial intelligence and deep learning to develop the next generation of medical image analysis technology that radiologists and patients can confidently rely on. It is committed to the advancement of technology that will improve cancer survival rates worldwide. Currently, CureMetrix is honing their powerful image analysis platform into an adjunct, precision tool for mammography. Its goal is to equip radiologists with the objective, data-driven answers they need to support patients and their healthcare team as they make decisions about breast cancer screening, treatment and diagnosis. CureMetrix believes [...]

Densitas is a breast imaging analytics company focused on automated breast density and mammography quality technologies through their products DM-Density and Densitas Image Check. Inflating healthcare costs and strict mammography quality standards mean mammography departments globally face immediate pressures to curb resource waste and standardize breast density reporting protocol while optimizing clinical outcomes. Densitas alleviates these pressures with its comprehensive breast imaging analytics platform. Densitas is comprised of a dedicated team with specialized expertise in machine learning, medical image analysis, informatics and clinical care. They [...]

ScreenPoint develops Deep Learning and image analysis technology for automated reading of mammograms and digital breast tomosynthesis with solutions such as Transpara Decision Support, Transpara Score, and Transpara CAD. It exploits the latest methods in the rapidly evolving field of machine learning, combining these with very large well curated digital image databases and a thorough understanding of the physics of mammogram image formation and the practicalities of the clinical deployment of mammographic image analysis. Transpara decision Support is a novel concept for computer aided detection of breast cancer developed by the founders of ScreenPoint. It [...]

QView Medical, incorporated in 2006, developed its deep learning CAD for automated breast ultrasound systems (“ABUS”) with an experienced team totaling over 100 years of AI experience. QVCAD is the next generation CAD system for automated breast ultrasound ("ABUS") based on deep learning algorithms. The QVCAD innovative C-Thru  technology combined with ABUS has demonstrated a 33% improved reading time while preserving diagnostic accuracy. The innovative QVCAD case review presents the CAD findings at the initial review of the case – Concurrent Reading. The QVCAD System is indicated for use as an aid to the radiologist during breast screening procedures [...]