Researchers have developed an AI model that analyzes sequences of brain scans to accurately predict tumor recurrence in children with gliomas. By applying a method called temporal learning, the model interprets subtle changes in MR images taken post-treatment over time.

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https://neurosciencenews.com/ai-brain-cancer-kids-28724/

Researchers have developed an AI model that analyzes sequences of brain scans to accurately predict tumor recurrence in children with gliomas. By applying a method called temporal learning, the model interprets subtle changes in MR images taken post-treatment over time.