At CureMetrix, we believe that providing radiologists with the most advanced technology to support their evaluation of mammograms will lead to improved clinical outcomes, reduced healthcare costs and increased assurance that patients are getting the highest standard of care available from screening through post-biopsy follow-up.

We are focused on developing the next generation of medical imaging technology that healthcare providers and patients can confidently rely on.

Using our patent-pending algorithm, we are developing an adjunct, precision tool for mammography. Our 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 their breast cancer screening, treatment and diagnosis. At CureMetrix, we believe that providing radiologists with the most advanced technology to support their evaluation of mammograms will lead to improved clinical outcomes, reduced healthcare costs and increased assurance that patients are getting the highest standard of imaging care available.

To support our efforts, CureMetrix has partnered with esteemed institutions such as University of California, San Diego, MD Anderson Cancer Center, Hoag Health Network and Johns Hopkins University to train and validate our algorithm’s ability to recognize different types of anomalies. We’ve collected almost 2 million images to build up advanced, highly-complex deep learning networks. We are working on developing technology to:

Accurately detect, quantify and classify anomalies in screening and diagnostic mammograms
Differentiate between various types of anomalies to help radiologists focus first on suspicious lesions, while discarding verifiably benign ones
Reduce the rates of false positives and false negatives to improve clinical efficacy, operational efficiency and financial outcomes – while, most importantly, easing the anxiety that such diagnoses can cause patients

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