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

At the Learning Lab in Union Station, more than a dozen students showcased their inventions as part of the Wichita school ...

A new pilot paediatric concussion clinic is providing children across the state with ground-breaking care and treatment to ...

How using subtle gestures, spatial awareness, and tone of voice can nudge your classroom toward smoother operations.

Houston-based Texas Children’s Hospital has developed an AI model to assess bone age in pediatric patients, allowing radiologists to allocate time to more complex tasks. Launched in November, the AI ...

Almost everything is fresh to a five year old: the dandelion growing through the sidewalk crack or the swarm of ants ...

Researchers have developed an AI model that analyzes sequences of brain scans to accurately predict tumor recurrence in children with gliomas.

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.

AI tools provide easy answers, potentially hindering kids' critical analysis and problem-solving skills. Learn how to guide ...

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers.

Neurons—the nerve cells responsible for transmitting electrical and chemical signals throughout the body—are organized in tissue, tending to cluster together in groups according to how they function.