How to enable robust and reliable magnetic resonance imaging of the brain without sedation in a pediatric population aged 2–4-year-old, in a clinical research context

Magnetic resonance imaging (MRI) plays a central role in the diagnostic and therapeutic pathways for multiple pediatric diseases, avoiding the ionizing radiation concern associated with some other imaging modalities. However, MRI is comparatively slow and motion-sensitive, which poses challenges when imaging pediatric populations. While a “Feed and Swaddle” technique can effectively be used when imaging neonates and young babies, children in the 1- to 5-year-old age range are particularly difficult to image without resorting to sedation.

Can an AI-based Radiologist Assistant app be developed to easily present clinical data to assist radiologists when interpreting imaging exams, provide differential diagnoses based on imaging findings described in the report, and automatically calculate RADS categories (malignancy risk categories for various lesions based on set criteria)?

n/a

TBD

TBD