mcnv - PRJ

MyopicCNV+™

This is the first global, open source and totally free advanced diagnostic project built on artificial intelligence. It concerns a specific retinal pathology, myopic macular degeneration and aims to combine the potential of artificial intelligence to reduce the possibility of diagnostic error.

mcnv - SW

The Software

The MyopicCNV+™ software is based on the retinal structural images of a commonly used clinical tool in ophthalmology, the spectral-domain optical coherence tomography (SD-OCT). Through automatic analysis of the images uploaded by the operator, MyopicCNV+™ can identify the presence of a neovascular lesion and assess its activity scan by scan, with a sensitivity of more than 90 %. The software is intended for ophthalmologists and professionals in the field.

mcnv - Myopic

Myopic Macular Degeneration

The disease affects many patients with high myopia and can be complicated by neovascularisation, i.e. an abnormal vessel that growing progressively leads to destruction of cones and rods, the retinal cells responsible for vision.
This complication is one of the main causes of legal blindness in the western world and if not diagnosed and treated in time leads to irreversible loss of sight. Early diagnosis, both clinical and instrumental, is therefore of fundamental importance in order to provide the appropriate therapy.

previous arrow
next arrow
About us

We are a group of engineers and ophthalmologists who have combined their technical and clinical skills to maximizing artificial intelligence’s modern potential in the medical field. Please, feel free to contact us at info@mcnv.ai

Cookieless policy

MCNV as the Data Controller (the “Data Controller”), “), wishes to inform users (the “Users”) about the use of cookies on the website www.mcnv.ai  (the “Website”). Cookies are defined as small strings of text contained in files that the website sends to the User’s terminal, where they are stored to be returned to the website on subsequent visits. Cookies may be the property of the website or of third parties. Cookies allow the website to recognise the User’s device and allow the User to navigate between pages, remember preferences expressed and improve the User’s browsing experience.

Use of cookies

This Website does not use any type of cookie, in order to respect the right to privacy for all the Users. Therefore, when browsing any page of the Site, the User will not be asked to choose which categories of cookies to set and authorise, as these text strings will never be sent by the Site to the User’s terminal.

Communication to third parties

Likewise, this Website excludes any communication of cookies to third parties, due to the non-use of any type of cookie.

Technical, performance and statistical cookies

This Website does not use any technical, performance or statistical cookies, which are commonly used on other websites.