It is expected to diagnose Benign, LSIL, ASC-US and High-grade lesions (ASC-H, HSIL, AGC, AIS, adenocarcinoma and other malignant neoplasms).

*When the modeling phase of our artificial intelligence-based diagnostic software is completed it’s aimed to recognize the fully scanned slides for diagnostic purposes and normal and abnormal diagnosis on square images taken under the microscope and warn pathologists over the image.

*Suspicious cells are displayed on a single cell basis.

*As it has web based usage it offers doctors the opportunity to examine not only on the computer but also on the phone and tablet.

*It has features like mark up and comment on images. The notes and signs taken are fed from the database and appear as a warning to other doctors in consultation.

*Different color filtering settings are applied on the image such as heatmap, white black etc.

*Patient information, results and reports listed in the window in the separate interface excluding the images.

*All this information is displayed and archived in the hospital environment and shared between technicians and doctors.