CORDIS Project
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This project focuses on advancing medical image analysis through machine intelligence. It aims to develop algorithms that improve the detection of diseases by learning from large imaging datasets, ultimately enhancing diagnostic accuracy and clinical decision-making.
Machines capable of analysing and interpreting medical scans with super-human performance would transform healthcare as much as medical imaging itself did over the last century.
With an increasing complexity and volume of data the interpretation of images and extraction of clinically useful information push human abilities to the limit.
There is high risk that critical patterns of disease go undetected.
We require powerful and trustworthy computational tools based on machine intelligence to supp…
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