In Kajaani, Finland, doctors and data scientists are working together to bring artificial intelligence into intensive care. Kajaani Central Hospital (KAKS) and Kajaani University of Applied Sciences, in collaboration with HealthHub Finland EDIH and the AIKA ecosystem, have developed a machine learning model that predicts mortality risk among ICU patients.
By training the model on thousands of anonymized patient records from KAKS and the open PhysioNet database, the team created a tool that helps clinicians identify high-risk patients earlier and act faster. The project shows how AI can make healthcare smarter, reduce staff workload, and improve patient outcomes — all while ensuring ethical and secure use of medical data.
Read this HealthHub Finland success story in full on the EDIH Knowledge Hub.