Magentiq Eye

Magentiq Eye Ltd. was established in 2014 with the aim to harness the most cutting edge computer vision and deep learning techniques to aid doctors in endoscopic procedures. Doctors today spend hours during Endoscopic Procedures looking at the LCD screens in order to explore, examine and treat various conditions. At Magentiq Eye we put the growing power of Deep Learning, Image and Video Processing to the help of doctors, so they can be more accurate and effective- ultimately saving millions of lives and billions of dollars. Our first product is APDS: Automatic Polyp Detection System, developed to be used in online and offline colonoscopies. Our APDS (Automatic Polyp Detection System) can point out the suspicious locations of polyps in the videos, increasing the attentiveness of doctors during procedures, thus helping them to reduce their polyp miss-rates. Given the large population that annually undergoes colonoscopy, even a modest decrease in polyp miss-rate can save a lot of lives! The APDS- RT runs on the video feed from the endoscopic camera used by the physician in real time during the endoscopic procedure (currently only on Colonoscopy Procedure). The APDS-OFL is a software that runs in off-line mode on pre-Recorded Colonoscopy Videos. It is estimated that 40 million colonoscopy procedures are performed every year (almost 40% in the US alone). The ability of colonoscopy procedures to decrease the number of colon cancer cases has been proven without a doubt and their number expected to grow. However, researches have shown that there is about 25% of misses (undetected polyps) in those procedures, misses which can, unfortunately, cause interval cancer. Within this context The APDS can be sold as an add-on to the colonoscopy system or as a service (license per exam), paid by the clinic or hospital. Once the APDS system would be formally proven, during the next year, to improve polyp detection rate, it could be sold either jointly with the endoscopic equipment providers or it can be integrated in the ...