Researchers have developed an AI system that predicts brain tumor recurrence in children using sequential MRI scans. By ...

A deep learning model predicted the recurrence of pediatric brain cancer with up to 89% accuracy. | Neuroscience ...

Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy.

While Magnetic Resonance Imaging (MRI) shows slow interval ... long-term management of a deadly brain tumor.” Despite the compelling interest in such individual case studies, the co-authors note: “We ...

According to a study published in Oncogene, an MRI-based imaging ... an aggressive brain tumor with multiple subtypes and varying metabolic patterns that can be monitored to predict treatment ...