The new Dolphin™ CT50h mobile computer from Honeywell is the perfect platform for our cCAD* tool because of its processing speed and crystal clear hi-resolution display.
Piscataway, New Jersey (PRWEB) April 11, 2016
Clearview Diagnostics Inc. is incorporating its artificial intelligence software with Honeywell’s mobile technology to offer a computer assistant called cCAD*™, which helps radiologists analyze large amounts of data in order to diagnose cancer and other diseases. The software assistant, which can run on Honeywell’s Dolphin CT50h mobile computer, is based on deep learning techniques found only in the latest Artificial Intelligence platforms. The cCAD* product is expected to be available by Q4 2016 pending FDA clearance.
cCAD* will reduce the time needed to study image data as well as improve the accuracy of the clinical decisions made by the Radiologists. Currently cCAD* is focused on breast cancer diagnosis but Clearview Diagnostics plans to extend cCAD* to include other cancers and diseases such as lung, liver, prostate and cardiovascular disease.
Besides finding missed cancers, the cCAD* platform could also reduce the number of unnecessary biopsies by correctly identifying benign conditions. For example, there are 1.6 million breast biopsies performed in the U.S. each year where only 20 percent are found to be cancers. cCAD* could potentially save billions of dollars per year in the U.S. alone by reducing the number of unnecessary breast biopsies.
Christine Podilchuk, CEO- Clearview Diagnostics said, “The new Dolphin™ CT50h mobile computer from Honeywell is the perfect platform for our cCAD* tool because of its processing speed and crystal clear hi-resolution display. This clinical smartphone device and the Clearview Diagnostics cCAD* will help hospital staff become “connected clinicians” – significantly increasing their productivity, and responsiveness.”
(* Pending FDA clearance; not available for commercial sale)
About Clearview Diagnostics Inc.
Clearview Diagnostics Inc. is a software company committed to advancing the practice of medicine through innovative Computer Aided Detection & Diagnosis (CAD) Systems. Our primary focus is on innovative image processing technology using deep learning technology to assist the radiologist in early detection and accurate diagnosis of cancers as well as other disease states to improve patient outcome and quality of life.