Led by Aleksei Tiulpin, PhD, the Intelligent Medical Systems Research Group at the University of Oulu is dedicated to advancing medical science through innovative AI strategies. The group investigates methods in machine learning specifically designed for healthcare, aiming to build new tools that embed seamlessly into care pathways and minimize reliance on labeled data. Their research emphasizes multimodal approaches that can predict uncertainties in predictions and enhance interactions between AI systems and human operators. Their work is pivotal in the fields of medical imaging and disease trajectory forecasting, with a notable history of contributions to significant publications in medical imaging and AI applications.
• human-ai interaction
• predictive uncertainty capabilities
• low reliance on labeled data
• emphasis on multimodal ai approaches
• development of intelligent medical systems
• focused on disease prevention
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