AI-RAPNO: Translating Artificial Intelligence into Reliable Response Assessment for Pediatric Neuro-Oncology
Highlights
– AI-RAPNO outlines advances in paediatric-specific AI for tumour segmentation, response quantification, and prognostication while emphasising unique paediatric challenges such as small datasets and heterogeneous imaging protocols.
– The initiative recommends standardised imaging protocols, robust external validation, model interpretability, and infrastructure (data curation, federated learning) to enable trustworthy clinical translation within the RAPNO response framework.
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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.