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Intelligent Medical Systems Research Group

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About

The Intelligent Medical Systems Research Group, led by Aleksei Tiulpin, PhD, focuses on developing AI methodologies for medical applications, aiming to create new tools integrated into healthcare pathways. The group's primary research interests include multimodal methods requiring minimal labeled data and predicting uncertainties in AI predictions. With a strong foundation in machine learning for medical imaging, the group also prioritizes collaboration with human practitioners and other AI systems.

Platform
Web
Keywords
machine learningdisease preventionhealth sciencesmedical applicationsai methods
Task
medical research
Features

• focus on disease prevention

• development of ai methods for medical applications

• multimodal approaches

• minimal labeled data usage

• uncertainty prediction in ai predictions

• integration of tools into care pathways

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