--- title: Building AI That Learns and Adapts: A Case Study in MRI... description: A conference talk covering continual learning in machine learning, illustrated through a real-world case study of detecting focal cortical dysplasia (FCD) in... canonical: https://daily.dev/posts/building-ai-that-learns-and-adapts-a-case-study-in-mri-diagnostics---agata-chudzi-ska-vydepzggs twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska | daily.dev og:description: A conference talk covering continual learning in machine learning, illustrated through a real-world case study of detecting focal cortical dysplasia (FCD) in... og:url: https://daily.dev/posts/building-ai-that-learns-and-adapts-a-case-study-in-mri-diagnostics---agata-chudzi-ska-vydepzggs og:image: https://api.daily.dev/og/posts/VyDepZGgS.png og:image:alt: Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska **[NDC Conferences](https://daily.dev/sources/ndc)** · 48 min read · 0 upvotes · 0 comments ## Summary A conference talk covering continual learning in machine learning, illustrated through a real-world case study of detecting focal cortical dysplasia (FCD) in MRI scans. The speaker explains why standard ML training pipelines fail in production due to data drift, privacy constraints, and the cost of retraining from scratch. Three continual learning approaches are covered: regularization-based methods (e.g., elastic weight consolidation), replay/memory-based methods, and architecture-based methods. The FCD project used EWC to improve specificity from a high false-positive baseline while maintaining sensitivity, achieving results useful for clinical pre-screening. The talk closes with a discussion of continual learning's relevance to LLMs, including Google Research's nested learning paradigm as a potential next frontier for truly adaptive AI. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Democratizing Alzheimer’s diagnosis: How interpretable AI brings early detection to underserved communities](https://daily.dev/posts/democratizing-alzheimer-s-diagnosis-how-interpretable-ai-brings-early-detection-to-underserved-comm-j53xoq2rx) · All Things Open · 0 upvotes · 0 comments - [Trusted AI Adoption \(Part 2\): Detection](https://daily.dev/posts/trusted-ai-adoption-part-2-detection-f92i7axfe) · JFrog · 0 upvotes · 0 comments - [Why Your Deep Learning Model Isn't Learning: Diagnosing Data Problems in Medical Imaging](https://daily.dev/posts/why-your-deep-learning-model-isn-t-learning-diagnosing-data-problems-in-medical-imaging-7dddn59n5) · freeCodeCamp · 29 upvotes · 1 comments - [An AI “mind-reading” tool can reconstruct what you’re looking at based on a brain scan](https://daily.dev/posts/an-ai-mind-reading-tool-can-reconstruct-what-you-re-looking-at-based-on-a-brain-scan-cdja9kyen) · MIT Technology Review · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#neural-networks](https://daily.dev/tags/neural-networks) [View this post on daily.dev](https://daily.dev/posts/building-ai-that-learns-and-adapts-a-case-study-in-mri-diagnostics---agata-chudzi-ska-vydepzggs) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska","url":"https://daily.dev/posts/building-ai-that-learns-and-adapts-a-case-study-in-mri-diagnostics---agata-chudzi-ska-vydepzggs","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/building-ai-that-learns-and-adapts-a-case-study-in-mri-diagnostics---agata-chudzi-ska-vydepzggs"},"datePublished":"2026-07-31T11:09:48.527Z","dateModified":"2026-07-31T11:10:07.071Z","description":"A conference talk covering continual learning in machine learning, illustrated through a real-world case study of detecting focal cortical dysplasia (FCD) in...","image":"https://i.ytimg.com/vi/dWQMhrIt5XE/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/dWQMhrIt5XE/sddefault.jpg","isAccessibleForFree":true,"articleSection":"NDC Conferences","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"NDC Conferences","logo":"https://media.daily.dev/image/upload/s--SiIyojEj--/f_auto/v1748760369/logos/ndc","url":"https://daily.dev/sources/ndc"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/building-ai-that-learns-and-adapts-a-case-study-in-mri-diagnostics---agata-chudzi-ska-vydepzggs","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,neural-networks","timeRequired":"PT48M","video":{"@type":"VideoObject","name":"Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska","description":"A conference talk covering continual learning in machine learning, illustrated through a real-world case study of detecting focal cortical dysplasia (FCD) in...","thumbnailUrl":"https://i.ytimg.com/vi/dWQMhrIt5XE/sddefault.jpg","uploadDate":"2026-07-31T11:09:48.527Z","duration":"PT48M","url":"https://api.daily.dev/r/VyDepZGgS","embedUrl":"https://www.youtube.com/embed/dWQMhrIt5XE"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"NDC Conferences","item":"https://daily.dev/sources/ndc"},{"@type":"ListItem","position":3,"name":"Building AI That Learns and Adapts: A Case Study in MRI Diagnostics - Agata Chudzińska"}]} ```