A research team from the Faculty of Medicine and Faculty of Engineering, Chulalongkorn University has jointly developed AICute, a program to assess the chances of stroke caused by heart disease (Ischemic Stroke), aimed at helping hospitals that lack cardiologists to enhance the effectiveness of stroke treatment, reduce congestion in hospitals and medical schools.
The research team from the Faculty of Medicine and the Faculty of Engineering, Chulalongkorn University have worked together to invent a tool to help assess the chance of developing a stroke caused by various causes, starting with a tool to assess stroke risk caused by heart disease called “AICute”. It is hoped that the innovation will support the care given to patients in community hospitals and small hospitals in remote areas where there is often a lack of tools and cardiologists.
AICute is a web application with artificial intelligence (AI) to analyze and evaluate patients for the risk of stroke from heart disease. It enables doctors in the community and small hospitals to make decisions and send patients to heart examinations more rapidly, making the treatment of stroke more effective.
