AI Can Predict the Recurrence of Brain Tumors in Kids, Study Finds
A team of researchers has leveraged a technique called temporal learning to train an AI system to predict the likelihood of brain cancer recurring in kids diagnosed with gliomas. This AI model uses the magnetic resonance images periodically captured after the kids have received treatment for the gliomas. The study’s findings, based on analyzing multiple images, indicate that the AI model can produce predictions that are 89% accurate when compared to predictions made on the basis of just one image that have an accuracy rate of 50%., no different from flipping a coin. This approach, which looks for subtle changes…











