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.
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.
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.
Technical Requirements and Procedures
At present, the project is based on tomographic images from the SD-OCT platform of the German Company Heidelberg Engineering, but the project plans to use soon other SD-OCT devices. The only requirement is an Internet connection to access the link provided here.
After acquisition, the operator can use the software internal to the device to anonymously export the images to be analysed. Images can be saved to any digital medium, even the PC itself (e.g. the desktop), in formats such as Jpg, Jpeg, Tif, Tiff, Bmp,or Png. Then images must be uploaded to the MyopicCNV+™ software that will provide in a few seconds an image-by-image diagnosis of activity or inactivity and an overall assessment of the patient. The lesions to be analysed can be macular or paramacular, naïve or recurrent.
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
