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Brain Mri, AI Predict Deaf Children's Capacity to Learn Language


A deaf child using sign language.

Two types of computing technology are used in a new method to predict how well a deaf child can learn language after receiving cochlear implant surgery.

Credit: signingtime.com

Researchers at the Chinese University of Hong Kong (CUHK) and the Ann & Robert H. Lurie Children's Hospital of Chicago have developed a method using two types of computing technology to predict how well a deaf child can learn language after receiving cochlear implant surgery.

They used a machine-learning algorithm that uses both magnetic resonance imaging scans of the brain and artificial intelligence to develop a better understanding of how the brain structure in children with developmental challenges impacts learning language.

"The ability to predict language development is important because it allows clinicians and educators to intervene with therapy to maximize language learning for the child," says CUHK professor Patrick C. Wong.

The researchers note the machine learning algorithm can predict language development with a relatively high degree of accuracy, specificity, and sensitivity.

From Health Imaging
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