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AI Applied to MRI: Promises and Challenges

An ECTRIMS talk on AI across MRI diagnosis, monitoring, prognosis and biological subtyping in multiple sclerosis.

ECTRIMS 2025 · Barcelona, Spain

A web sketch of the deck’s central idea
Delivered
Event
ECTRIMS 2025
Place
Barcelona, Spain
Format
Conference
Source deck
17 slides

From the slides

Deck notes

This talk followed AI across the MRI pathway in MS: pre-diagnosis, diagnosis, monitoring, prognosis and phenotype. It compared promising research applications with the narrower set of tools approaching routine clinical use.

The question

Where is AI applied to MRI mature enough to support clinical work, and where does it remain a research method?

Deck outline

  • Detecting recent lesion activity from conventional MRI
  • Automated support for diagnosis and lesion segmentation
  • Quantitative MRI measures for disease monitoring
  • Data-driven and multimodal MS subtypes
  • Prognostic models for disease course
  • Evidence and clinical maturity from bench to bedside

Take-away

Automated monitoring is the most mature application presented; diagnosis, prognosis and subtyping still face a longer path to clinical translation.