SOURCE-LINKED INTELLIGENCE

A Foundation Model for Next-Generation Generalizable AI in Neuro-Radiology

CORDIS · observation · Publication date unknown

A Foundation Model for Next-Generation Generalizable AI in Neuro-Radiology 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 will build on the recent advent of foundation models, providing a unique opportunity to rethink the development of medical AI and overcome the challenges of traditional AI models. At the core of AI-Next stands the development of a state-of-the-art visual foundation model (VFM) that learns generalizable representations from unlabelled radiology scans and provides a basis for label-efficient model adaptation i

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recordType

award

status

SIGNED

region

EU

value

2533448.75

unit

EUR