A significant breakthrough in multiple sclerosis imaging has emerged: artificial intelligence can now identify cortical lesions on existing patient MRI scans that radiologists cannot detect using conventional analysis methods. This advancement addresses a critical clinical gap where cortical pathology—often the most clinically relevant site of MS disease—has remained largely invisible to standard imaging techniques.
The technology operates on legacy MRI data without requiring new scanning protocols or additional patient burden, making it immediately applicable to clinical practice. By analyzing archived imaging data with AI-enhanced algorithms, clinicians gain access to previously undetectable pathological information that can inform treatment decisions and disease monitoring strategies. This capability represents a paradigm shift in how MS disease activity is assessed and tracked over time.
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