Building the future of eye-based diagnostics
Early detection changes outcomes. We equip eye care professionals with AI-powered decision support that uncovers risk sooner, improves confidence, and fits naturally into daily clinical practice
melAInoma is an AI-based decision support tool for the early detection of uveal melanoma using retinal images.
For Opticians and Ophthalmologists
melAInoma supports opticians and ophthalmologists by providing a risk assessment based on retinal images, helping reduce unnecessary referrals while maintaining high sensitivity for malignant cases.
Supporting - not replacing
The model is developed using unique, longitudinal clinical data and validated in peer-reviewed studies. melAInoma is designed to integrate into existing imaging workflows and support clinical judgment, not replace it.
News and Updates
Validation of melAInoma
Recent studies demonstrate that melAInoma significantly improves diagnostic accuracy compared to standard assessment, while reducing false referrals.The results are based on longitudinal clinical data and external validation.
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AI decision support in optometric practice
AI is becoming an important part of modern eye care.This article discusses how decision support tools can strengthen opticians’ clinical role and improve referral quality.
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Eyedentity at Optikmässan
Eyedentity will be speaking at Optikmässan.Friday 17 January, 11:45 - 12:45Lecture: AI support for early detection of ocular melanoma — Gustav Stålhammar, MD, PhD
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Professor Gustav Stålhammar highlighted
Our CSO, Professor Gustav Stålhammar, is currently ranked #4 globally in uveal melanoma research over the past five years
Scholar GPS
Comparison of MOLES and MelAInoma for Differentiating Small Choroidal Melanomas from Nevi
In a recent open-access paper in Cancers (MDPI), Gustav Stålhammar presents work on how Eyedentity’s AI system, MelAInoma, can analyse routine fundus photographs to support the triage of melanocytic choroidal lesions
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Management Team
Successful teams combine the different skillsets needed to solve the problem at hand. Our management team has a long experience in the fields needed to bring AI projects all the way: ML skills across the board, development and infrastructure, project and stakeholder management.
- Creator of the melAInoma model and former ML manager RaySearch Laboratories. Brought the world’s first ML-based automated radiation planning product to market
- Senior Consultant (överläkare), S:t Eriks Ögonsjukhus. Professor in ophtalmology and research group leader, Karolinska Institutet
- Director of Machine Learning, executive team member, RaySearch Laboratories. PhD in optimization of radiation therapy
- Builder of the melAInoma SaaS ML platform, with a PhD in computational neuroscience. He brings proven leadership across life sciences and AI
