An augmented intelligence algorithm has been developed that is able to detect cervical cancer based on a single image.
Automated Visual Evaluation (AVE) is being used with MobileODT’s EVA System Colposcope.
The AVE machine learning algorithm was found to have a higher level of accuracy at identifying problematic lesions with greater reliability than the traditional Pap test and when presented to a human colposcopist, in a study published in the Journal of the National Cancer Institute (NCI).
Ariel Beery, CEO of MobileODT said: “We are excited by the new AVE algorithm and the promise it holds in fighting cervical cancer. Our team is proud to make available an AVE enabled EVA System to reach more women and save more lives.”
The EVA Colposcope is a mobile digital colposcope that is currently in use in 29 countries. Mobile ODT has recently announced a pilot scheme to validate the clinical application of the AVE algorithm with India-based Genworks Health and Apollo Hospitals.
