AI could spot deadly stroke complication before It's too late
NCT ID NCT04057690
Summary
This study aims to develop a computer program that can predict which patients who have had a major stroke will develop a life-threatening complication called malignant brain edema. Researchers will use machine learning to analyze brain scans and patient data from over 1,500 people to create a prediction model. The goal is to identify high-risk patients early so doctors can consider life-saving surgery sooner.
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Contacts and locations
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Locations
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BRAINOMIX Limited
Oxford, United Kingdom
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Charité Universitätsmedizin Berlin
Berlin, Germany
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Fraunhofer- Gesellschaft zur Förderung der angewandten Forschung e.V., Fraunhofer MEVIS
Bremen, Germany
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Hertie Institute for AI in Brain Health
Tübingen, Germany
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Klinikum Stuttgart
Stuttgart, Germany
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Klinikum der Ludwig-Maximilians-Universität München
Munich, Germany
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Klinikum der Medizinischen Hochschule Hannover
Hanover, Germany
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St. John's Hospital
Vienna, Austria
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Technische Universität München
Munich, Germany
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University Hospital Tuebingen
Tübingen, 72076, Germany
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Universitätsklinikum Bonn
Bonn, Germany
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Universitätsklinikum Düsseldorf
Düsseldorf, Germany
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Universitätsklinikum Hamburg-Eppendorf
Hamburg, Germany
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Universitätsklinikum Heidelberg
Heidelberg, Germany
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Universitätsklinikum Leipzig
Leipzig, Germany
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Universitätsklinikum Münster
Münster, Germany
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Universitätsklinikum Regensburg
Regensburg, Germany
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Universitätsklinikum Ulm
Ulm, Germany
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Universitätsklinikum Würzburg
Würzburg, Germany
Conditions
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