AI tool targets early dementia detection from brain scans

Researchers from the Universities of Edinburgh and Dundee are pioneering an AI tool designed to detect early signs of dementia through routine brain scans. Utilising a large dataset of CT and MRI scans from Scottish patients, the team aims to analyse these images with linked health records to identify patterns that may indicate a heightened risk of dementia.

The ultimate goal is to create a digital healthcare tool for radiologists to assess dementia risk during routine scans. Early identification of high-risk patients could lead to the development of more effective treatments, particularly for Alzheimer’s and vascular dementia. The project, known as SCAN-DAN, is part of a larger global collaboration called NEURii, which focuses on advancing digital health tools.

The research is supported by NEURii, which brings together international expertise and funding to overcome barriers to commercialisation. By collaborating with partners like the NHS and the Scottish National Safe Haven, the project ensures the secure handling of patient data, aiming to integrate AI tools into everyday clinical practice.

Experts believe that early diagnosis is crucial for managing dementia effectively. With costly and limited treatments, projects like SCAN-DAN offer hope for more accessible and reliable solutions. The researchers are confident that this initiative could significantly impact how dementia is diagnosed and treated.