ArticleAnnals of medicine and surgery (2012)2025
AI-powered neuroimaging markers: a new era in paediatric Leigh syndrome diagnosis.
Article in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
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Abstract
Leigh syndrome is a severe pediatric mitochondrial disorder characterized by progressive neurological decline and epilepsy as a frequent manifestation. Traditional diagnostic approaches, including EEG and MRI, are often limited in their sensitivity and specificity, leading to diagnostic delays. Artificial intelligence (AI)-powered neuroimaging markers have emerged as promising tools that integrate multimodal patient data - including clinical history, imaging, and genetic sequencing - to enhance diagnostic precision and facilitate early intervention. Recent studies have demonstrated AI's ability to classify epilepsy subtypes, automate EEG interpretation, and detect early neurodegenerative changes, underscoring its clinical potential. However, challenges such as algorithm transparency, dataset bias, and ethical concerns remain. Integrating AI-driven neurotechnology with existing modalities may significantly improve the early diagnosis and prognosis of Leigh syndrome, offering a pathway toward precision neurodiagnostics in pediatric care.
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