The look of why: causality matters in medical imaging AI

Artificial intelligence has the potential to transform medical imaging, from earlier detection of diseases to more accurate diagnosis. Yet AI systems can fail when faced with new or different data, raising important questions about their reliability, robustness and fairness.

Join Professor Ben Glocker, Professor in Machine Learning for Imaging, to discover why causality matters for understanding when AI works and when it fails, and how ‘what-if’ reasoning could help expose blind spots and build more trustworthy medical imaging AI. #ImperialInaugurals

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