CARE – Computer assisted risk evaluation in early psychosis detection

We are excited to announce our involvement in the recently funded project CARE (Computer Assisted Risk Evaluation in early psychosis detection). This project was funded with 9.5 million € for a duration of three years starting in 2022. It constitutes a large-scale consortium effort in which the University of Lübeck acts as a partner institution.

The goal of this project is to develop an innovative prevention model that allows a more efficient assessment of individual’s risk to develop psychosis and base individualised early intervention methods on this model. The risk assessment will involve computational algorithms, using artificial intelligence (AI),  to achieve their goal of integrating and analysing a large set of multivariate data sources including results from clinical assessments, cognitive testing, MRI amongst others. A randomised-controlled trial will be employed to compare a group receiving AI-based diagnostic and early intervention to a control group receiving standard treatment.

 

Within this consortium we collaborate with the following partners:

AOK Rheinland/Hamburg – Die Gesundheitskasse, Bergische Universität Wuppertal, Charité – Universitätsmedizin Berlin, Christian-Albrechts-Universität zu Kiel, DAK-Gesundheit, Helios Klinikum Schleswig, Klinikum der Ludwig-Maximilians-Universität München, LVR-Klinik Bonn, LWL-Universitätsklinikum Bochum, Otto-von-Guericke-Universität Magdeburg, Rheinhessen-Fachklinik Alzey, Rheinische Friedrich-Wilhelms-Universität Bonn, Techniker Krankenkasse, Technische Universität Dresden, Universität Bern, Universität Konstanz, Universität Leipzig, Universität zu Lübeck, Universitätsklinikum Aachen, Universitätsklinikum Augsburg, Universitätsklinikum Bonn, Universitätsklinikum Hamburg-Eppendorf, Universitätsklinikum Köln, Universitätsklinikum Münster, Universitätsklinikum Tübingen, Universitätsklinikum Würzburg, Vivantes Netzwerk Gesundheit GmbH, Vorwerker Diakonie gGmbH, Zentralinstitut für Seelische Gesundheit

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