An artificial intelligence tool developed by the Murdoch Children’s Research Institute (MCRI) and The Royal Children’s Hospital (RCH), Australia, can detect tiny, otherwise undetectable brain lesions in children with drug-resistant epilepsy , that could provide faster diagnosis, improved surgical planning, and better outcomes for young patients. Published in the journal Epilepsia , the technology combines MRI-based detection with positron emission tomography (PET) and AI to accurately detect bottom-of-sulcus dysplasia (BOSD), a form of focal cortical dysplasia (FCD).

“Identifying the cause early lets us tailor treatment options and helps neurosurgeons plan and navigate surgery,” said the study’s first author Emma Macdonald-Laurs, PhD, a pediatric neurologist at RCH. “With more accur

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