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Conference ·
Transforming MS care with AI: prospects and challenges
A clear-eyed look at the research promise of AI in MS and the evidence still needed for routine clinical use.
Northern Connections MS Annual Meeting · Edinburgh
- Delivered
- Event
- Northern Connections MS Annual Meeting
- Place
- Edinburgh
- Format
- Conference
- Source deck
- 20 slides
From the slides
Deck notes
This talk surveyed potential uses of artificial intelligence in multiple sclerosis, from disease classification to MRI monitoring. The emphasis was on separating research utility from demonstrated clinical utility.
The question
Which AI applications are mature enough to inform MS care, and which still need stronger validation?
Deck outline
- Core definitions in artificial intelligence and machine learning
- The landscape of AI-based medical software
- Clinical MS labels and data-driven biological classification
- MRI subtypes and measures of disease progression
- The evidence and maturity of brain and spinal cord biomarkers
- Lessons from other clinical fields and priorities for translation
Take-away
AI already has value as a research tool, particularly for extracting structure from imaging data. Routine clinical use requires clearer standards, stronger outcome evidence and realistic expectations about the pace of translation.
