Researchers at Robert Gordon University have used artificial intelligence (AI) to identify patients at risk of suffering a stroke.
The team used cutting-edge explainable AI (XAI) methods and a machine learning algorithm, named Random Forest, to pinpoint the most significant factors contributing to a stroke.
The risk factors the team identified included age, marital status, glucose levels, body mass index, work type, heart disease and gender.
Scientistic claim the findings could underpin a preventative approach to the medical condition, enhancing patient outcomes, and mitigating the impact it has on the NHS.