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Latest press releases

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...

Forbes [FR] | RetinAI, quand l’Intelligence Artificielle détecte et prévient les maladies ophtalmologiques

"Sandro De Zanet, Stefanos Apostolopoulos et Carlos Ciller se sont rencontrés à l’université de Berne où ils faisaient leur doctorat de recherche en traitement d’images, imagerie médicale et machine learning en ophtalmologie…"

AGEFI [FR] | L’examen ophtalmologique facilité par l’intelligence artificielle de RetinAI (FR)

"Nous ne visons pas à remplacer les ophtalmologues. Nous cherchons à rendre leurs tâches et leurs décisions plus aisées», affirme Carlos Ciller, CEO et cofondateur de RetinAI..."

BILAN [FR] | RetinAI soigne les yeux avec l’intelligence artificielle (FR)

" S’il est un domaine où l’intelligence artificielle a fait ses preuves récemment, c’est bien dans la reconnaissance d’images, y compris médicales, pour l’aide au diagnostic... "

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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