Our latest
Press Releases & Updates

Latest press releases

RetinAI Joins Forces with Stephen J. Ryan Initiative for Macular Research (RIMR) AMD Consortium to Forge a Global Retinal Imaging Initiative Targeting Research in AMD

RIMR members from around the world will now be able to connect through RetinAI’s cloud- based platform, RetinAI Discovery®, to facilitate a frictionless collaboration and derive insights on global AMD datasets, helping to advance research in this disease that is a leading cause of blindness in older individuals.

Joint Initiative to Precisely Target Patient Selection for PBM Therapy in Intermediate, Dry AMD Using RetinAI’s Discovery Platform

Discover how RetinAI's groundbreaking Discovery® platform and Gutblick's clinical expertise are joining forces to transform the future of eye care. Their collaboration focuses on harnessing AI technology for advanced research and clinical applications in managing Dry Age-related Macular Degeneration. This partnership signifies a leap forward in personalized treatment and care, setting new standards in ophthalmology.

RetinAI Announces Strategic Partnership with Eyestem to Innovate Geographic Atrophy Clinical Research Using State-of-the-Art AI Technology

RetinAI and Retina Consultants of America Join Forces to build the Most Comprehensive U.S.-based Real World Evidence Database in Ophthalmology

RetinAI Medical AG and Retina Consultants of America (RCA) forge a strategic partnership to revolutionize Ophthalmology data. Leveraging RetinAI's advanced AI technologies and RCA's expansive clinic network, this alliance is set to develop the largest Real World Evidence (RWE) U.S.-based database in the field.

Latest updates

Machine learning can predict anti-VEGF treatment demand in a Treat-and-Extend regimen for patients with nAMD, DME and RVO associated ME

2 new Posters in ARVO 2021 Virtual

We are very excited of our team and collaborators presenting 2 posters in ARVO 2021! One Poster on 'Longitudinal analysis of Retinal Pigment Epithelium Atrophy progression using an automated segmentation algorithm' providing segmentation analysis over 5 years using deep learning,
and a poster on 'Automated fovea and optic disc detection in the presence of occlusions in Fundus SLO Images'.

New publication on TVST - Automated quantification of pathological fluids in neovascular age-related degeneration, and it's repeatability using deep learning

In this peer reviewed publication, we develop a reliable algorithm for the automated identification, localization, and volume measurement of exudative manifestations in neovascular age-related macular degeneration (nAMD), including intraretinal (IRF), subretinal fluid (SRF), and pigment epithelium detachment (PED), using a deep-learning approach. The deep-learning algorithm can simultaneously acquire a high level of performance for the identification and volume measurements of IRF, SRF, and PED in nAMD, providing accurate and repeatable predictions. Including layer segmentation during training and squeeze-excite block in the network architecture were shown to boost the performance. Source: Mantel et al. , TVST 2021, 10 (17) - Authors: Irmela Mantel; Agata Mosinska; Ciara Bergin; Maria Sole Polito; Jacopo Guidotti; Stefanos Apostolopoulos; Carlos Ciller; Sandro De Zanet

Translation Vision Science and Technology

RetinAI receives ISO 13485:2016 certification

Retinai has just received the ISO 13485 certification, a recognition awarded by regulatory bodies and necessary for companies willing to develop & commercialise Medical Devices. RetinAI Discovery, our platform for medical image and data management in ophthalmology, is now getting ready to be commercialised to clinics as a medical device. We are extremely proud of the team for achieving the certification!

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