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This document discusses the integration of radio-pathomic approaches in pediatric neuro-oncology, highlighting the potential of combining radiomic and pathomic data to enhance clinical decision-making and personalized medicine. It reviews current challenges in data aggregation and modeling complexities while advocating for systemic changes in data management and AI methodologies to improve predictive models. The authors emphasize the need for further research and collaboration to advance the application of

Author

TAO AI

Language

EN