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Clearview Diagnostics AI Software Awarded Second Place for Clinical Technology in GE Health Cloud Innovation Challenge

SaaS platform leverages machine learning to provide a fast and inexpensive way to detect breast cancer

(Piscataway, NJ – May 3, 2017) Clearview Diagnostics announced today it has been awarded second prize for clinical technology in the inaugural GE Health Cloud Innovation Challenge for its Breast Cancer Ultrasound Computer-Aided Diagnosis (CAD) software. The award recognizes technologies with the greatest potential impact on improving healthcare outcomes as well as those with the best
potential to take advantage of and integrate with the GE Health Cloud.  

Clearview’s AI software leverages a low-cost, portable ultrasound device to distinguish breast cancer from benign/nonthreatening conditions to stop unnecessary procedures and misdiagnosis. The tool uses machine learning algorithms to help correct a radiologist’s natural biases as they interpret diagnostic images—like a pair of prescription eyeglasses—increasing the effectiveness of radiologists and reducing the need for biopsies. 

Of the 40 million women in the U.S. who get mammograms each year, approximately 1.3 million are subjected to unnecessary
biopsies, follow-ups and other potentially invasive procedures due to unclear or inconclusive diagnostic results. In an NIH-funded study conducted at USC and UCLA, Clearview’s AI platform could accurately identify 100 percent of breast cancers while reducing the number of benign breast lesions going to biopsy (as recommended by board-certified radiologists) by 70 percent.

In January 2017, the Clearview CAD software was cleared for a 510(k) by the FDA and is currently being evaluated in the United States with University Radiology Group, one of the largest board-certified radiology practices in the country.

As a GE Health Cloud Innovation Challenge winner, Clearview can become one of the first ISVs to host its healthcare
application on GE Healthcare’s secure, scalable and connected cloud platform.  

The GE Health Cloud Innovation Challenge was judged by an esteemed panel of experts, including April Dunn, Chief Marketing Officer, Global Services and Customer Advocacy at GE Healthcare, Noah Lewis, Managing Director at GE Ventures, Dr.
Sam Ho, EVP and Chief Medical Officer at UnitedHealthcare, Christopher Ross, Chief Information Officer at Mayo Clinic, Jay Burrell, SVP, Digital Technology at GE Healthcare, and Dr. Molly Maloof, MD, a Physician, Senior Researcher and Digital Health Advisor.

 

About Clearview Diagnostics

Clearview Diagnostics is dedicated to advancing healthcare through innovative artificial intelligence (AI) technology. The company’s state-of-the-art machine learning technology is designed to assist healthcare professionals in disease diagnosis to improve patient outcome, reduce overall healthcare costs and make medical image diagnosis accessible worldwide. Clearview’s initial focus is on breast cancer diagnosis and the company plans to expand its AI platform to other diseases and imaging modalities. Clearview Diagnostics is headquartered in Piscataway, NJ. For more information, please visit http://www.clearviewdiagnosticsinc.com