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AI Tool 'MindGlide' Validated for Transforming Multiple Sclerosis Treatment Monitoring

UCL's MindGlide accelerates MRI analysis and outperforms existing tools, with plans to expand its capabilities to spinal cord imaging for comprehensive MS assessments.

Overview

  • MindGlide, developed by UCL researchers, uses AI to analyze standard MRI scans and detect MS-related brain changes with unprecedented speed and accuracy.
  • The tool reduces MRI analysis time from weeks to just 5-10 seconds per image, significantly improving diagnostic efficiency in clinical settings.
  • In a Nature Communications study, MindGlide demonstrated superior performance, detecting brain plaques 60% better than SAMSEG and 20% better than WMH-SynthSeg.
  • MindGlide unlocks insights from underutilized routine and archived MRI scans, potentially revolutionizing MS treatment monitoring and research.
  • Currently limited to brain imaging, future research aims to incorporate spinal cord analysis for a more comprehensive understanding of MS progression.

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