RetinAI collaboration with Heidelberg Engineering gives customers access to RetinAI’s analysis models in OCT

Latest press releases

RetinAI receives Innosuisse certificate

RetinAI Medical has received the prestigious Innosuisse Certificate of quality, which is awarded to Swiss startup companies ready for growth & scale-up.

RetinAI Announces Collaboration with Novartis to Provide Artificial Intelligence Solutions in Ophthalmology

RetinAI Medical AG announced a multi-year collaboration with Novartis Pharma AG under which RetinAI’s IT solutions and artificial intelligence tools shall be employed to support multiple projects in ophthalmology and digital health.

RetinAI receives ISO 13485:2016 certification

RetinAI has just received the ISO 13485:2016 certification, an important recognition awarded by regulatory bodies and necessary for companies willing to develop and commercialise Medical Devices.

btov Partners leads CHF 2.3M investment into RetinAI to bring Artificial Intelligence to Health Data

RetinAI, a Bern based company building software tools to aggregate, manage, and analyse health data, has closed a CHF 2.3M pre-Series A financing round. btov Partners' Industrial Technologies Fund has led the round with participation of Swiss-based investor network Investiere and a consortium of selected private investors...

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) - https://doi.org/10.1167/tvst.10.4.17 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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