CORDIS Project
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AI-Next focuses on developing a visual foundation model for neuro-radiology that learns from unlabelled scans to improve diagnostic capabilities. By utilizing self-supervised learning on a large dataset, it aims to enhance clinical tasks such as screening, risk prediction, and automated reporting with minimal labeling…
Medical artificial intelligence (AI) holds immense promise for transforming radiology by introducing advanced diagnostic capabilities.
Yet, traditional AI models face challenges like extensive data annotation needs and are task-specific with limited generalizability to different scenarios.
This problem of robust and label-efficient generalization continues to be a key translational challenge for medical AI models and has prevented their broad uptake in real world healthcare settings. AI-Next wil…
UNIVERSITATSKLINIKUM BONN
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Germany, Heidelberg
Type: Research institute
Activity type: Research Organisations
SME: No
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