AI Breakthrough: Predicting Brain Tumor Recurrence in Children

Eighteen Years Ago, My Baby Was Diagnosed With a Brain Tumor. Here’s

By: Trish AdkinsEighteen years ago, when my daughter Lily was diagnosed with a brain tumor, I knew nothing. I guessed that brain tumors in 14-month-old babies were rare. I knew this diagnosis would devastate us, but I didn’t know if her tumor was “cancer” or even really understand how cancer worked. I didn’t know there were treatments and, if there were treatments, if they would leave Lily severely disabled. I didn’t know there were other famili…

Pediatric Glioma Recurrence Predicted by Temporal Learning AI Model

A new artificial intelligence (AI) model has been developed that can predict the recurrence of pediatric gliomas by analyzing a sequential series of brain MRI scans. The tool, developed by investigators at Mass General Brigham with collaborators at Boston Children’s Hospital and Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, provides a more personalized approach to pediatric brain cancer care and could reduce the burden of unne…

AI Breakthrough: Predicting Brain Tumor Recurrence in Children

A novel artificial intelligence technique could revolutionize pediatric brain cancer treatment by accurately predicting tumor recurrence, according to recent research. Scientists have successfully trained an AI model using temporal learning that analyzes magnetic resonance images to assess the likelihood of glioma reemergence in children. The AI system represents a significant advancement in pediatric oncology, offering medical professionals a p…