Use of AI in MS prediction

This talk organised AI prediction in multiple sclerosis around a sequence of clinical questions. It moved from early recognition and diagnosis to phenotyping, prognosis and monitoring.

The question

Where can AI-derived predictions add useful information across the MS pathway, rather than treating prediction as a single task?

Deck outline

• The terminology used in contemporary AI systems
• The landscape of AI-based medical software
• Early recognition using routinely collected health data
• MRI-supported diagnosis
• Data-driven phenotyping of multiple sclerosis
• Prognosis and longitudinal monitoring

Take-away

Prediction in MS covers several different decisions, each with its own data and evaluation needs. A useful system must be judged against the clinical question it is intended to support.