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# Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska

**[NDC Conferences](https://daily.dev/sources/ndc)** · 42 min read · 0 upvotes · 0 comments

## Summary

A conference talk exploring continual learning through a real-world MRI diagnostics case study focused on detecting focal cortical dysplasias (FCDs), a common cause of drug-resistant epilepsy. The speaker walks through building a U-Net based model, the challenges of small and imbalanced medical datasets, and how catastrophic forgetting undermines naive fine-tuning. Three families of continual learning methods are explained: regularization-based (elastic weight consolidation), memory replay, and architecture-based approaches. The team applied EWC to adapt their model to new data distributions without retraining from scratch, achieving comparable sensitivity with significantly fewer false positives. The talk concludes with broader applicability of continual learning in production ML systems and highlights Google's new 'nested learning' paradigm as a promising research direction.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=gBI-uOq9btU>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#neural-networks](https://daily.dev/tags/neural-networks)

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