New AI Tool Could Detect Early Signs of Dementia Through Eye Tests
- How Can AI Improve Dementia Detection?
- NeurEYE Research Program
- Using AI to Predict Dementia Risk from Eye Tests
- Conclusion
Dementia is a condition that impairs brain function by preventing brain cells from working properly, which in turn affects a person’s memory, thinking, and ability to communicate [1]. According to Dementia UK, one in 14 people over the age of 65 and one in six over the age of 80 are affected [1]. Alzheimer's disease, one of the most common forms of dementia, can cause memory loss, confusion, and difficulty with speech and comprehension [1]. While there is currently no cure for dementia, early diagnosis can lead to earlier treatment and provide patients and their families more time to adjust and make necessary preparations for the future [1].
Scottish scientists are developing an AI tool that high-street opticians could use to detect early signs of dementia [1]. By analyzing retinal images—photos of the back of the eye—using artificial intelligence, researchers hope to identify signs of brain-related diseases before any symptoms appear. In this article, we will take a closer look at the NeurEYE research program, an innovative initiative that uses cutting-edge AI and eye imaging technology to detect early signs of dementia and potentially transform how the condition is diagnosed and managed.
AI is a rapidly growing area of dementia research, offering significant potential to improve patient care and accelerate the development of a more accurate and earlier diagnosis of the disease [4]. University of Edinburgh's commercialization service, Edinburgh Innovations, has announced a research initiative that will apply AI-based software and anonymized eye scans from millions of patients across Scotland [2]. Led by the University of Edinburgh in collaboration with Glasgow Caledonian University, the NeurEYE research team will compile millions of eye scans collected by Scottish optometrists into a comprehensive dataset, with approval from the Public Benefit and Privacy Panel for Health and Social Care, part of NHS Scotland [2][3]. Once the data is collected, the research team will apply AI and machine learning tools to analyze bioindicators of dementia and other neurological conditions [3]. NeurEYE is the second project to receive funding and support from NEURii, a global partnership involving the University of Edinburgh, health data science institute Health Data Research UK, pharmaceutical firm Eisai, Gates Ventures, and the medical research charity LifeArc [2].
The research program aims to register new biomarkers for Alzheimer’s and other degenerative brain conditions, accelerate drug development by identifying suitable clinical trial candidates, and enhance treatment monitoring through precise and predictive analytics [3]. The team's database has the potential to be applied to photographs taken during regular eye exams and could eventually be used by clinicians to either identify early signs of disease or take preventive measures before symptoms arise [1]. By identifying early signs of cognitive decline, the research could significantly improve patient outcomes by enabling earlier interventions, facilitating better monitoring of treatment responses, and helping to select appropriate candidates for clinical trials [2]. The joint effort will also develop AI-powered software that optometrists can use as a predictive or diagnostic tool for conditions like Alzheimer's disease [2]. The tool is expected to function both as a triage system for referring patients to secondary healthcare services and as a tool for monitoring cognitive decline following a dementia diagnosis [3].
Baljean Dhillon, Professor of Clinical Ophthalmology at the University of Edinburgh, highlights the close relationship between the vascular systems of the retina and the neural pathways of the brain, noting that, unlike the brain, the retina can be examined using simple, affordable equipment found in every high street in the UK and beyond [1][3]. Complementing this perspective, Miguel Bernabeu, Professor of Computational Medicine at the Usher Institute, emphasizes the transformative potential of recent advances in artificial intelligence for medical image interpretation and disease prediction [3]. However, he stresses that to develop equitable and unbiased AI algorithms, it is crucial to train them on datasets that accurately represent the entire population at risk [3].
The NeurEYE research initiative exemplifies the transformative potential of AI and retinal imaging in the early detection of dementia [3]. Through the analysis of retinal images—an accessible and non-invasive method—scientists aim to uncover early signs of cognitive decline, offering a promising alternative to traditional, often more invasive diagnostic methods. This novel approach could make dementia screening more widely available, particularly by equipping high-street optometrists with AI tools that identify at-risk individuals before symptoms appear. By compiling a vast dataset of anonymized eye scans and applying advanced machine learning models, NeurEYE opens the door to earlier diagnoses, more targeted treatments, and better tracking of disease progression. The program reflects the importance of cross-sector collaboration and the role of technology in reshaping healthcare delivery. By integrating innovative technology with Scotland’s robust medical infrastructure, the program seeks to transform the diagnosis, monitoring, and treatment of neurological disorders [3].
Notes and References
- Ai Could Help Diagnose Dementia Through Eye Tests. (2025, January 21) - BBC. https://www.bbc.com/news/articles/cvgl8n1jpxyo
- Charters, L. (2025, January 24). Neureye Team Leads Ai Research To Detect Dementia Through Retinal Imaging - Ophthalmology Times. https://www.ophthalmologytimes.com/view/neureye-team-leads-ai-research-to-detect-dementia-through-retinal-imaging
- NeurEYE Research Team Leads AI Innovation in Detecting Dementia via Retinal Imaging. (2025, January 27) - Ophthalmology Breaking News. https://ophthalmologybreakingnews.com/neureye-research-team-leads-ai-innovation
- Matuszyk, M. (2019). How Artificial Intelligence Can Help People Affected By Dementia - Alzheimer’s Society. https://www.alzheimers.org.uk/blog/artificial-intelligence-ai-dementia
