CESGA and CITIC collaborate to advance sleep disorder research using AI and quantum computing

This collaboration aims to use advanced computational techniques to identify and analyse patterns related to sleep disorders.

By Codigo Cero

CITIC has recruited new researchers to drive forward projects applying artificial intelligence (AI) and quantum computing to everyday life. In collaboration with CESGA, CITIC is participating in the NEXT-GEN-SOMNUS project, which is focused on improving the diagnosis of sleep disorders using new-generation machine learning algorithms. The aim is to analyse sleep medical records more efficiently by combining self-attention, human-in-the-loop and quantum computing techniques.

Coordinated by researchers Eduardo Mosqueira Rey and Diego Álvarez Estévez within the framework of the 2023 State Call for Projects for the Generation of Knowledge, the project will use real data and test the models in both, simulators and CESGA’s real quantum computer. This initiative aims to overcome the limitations of current computer-aided diagnosis systems by improving their explainability, performance, and generalisation capacity in response to the growing demand arising from the significant number of individuals affected by sleep disorders in Spain.

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