Deep Learning Speeds Diagnosis of Kids’ Growth Problems

Ask doctors and they’ll tell you: In children, there’s chronological age and there’s bone age. When the two don’t match, there’s a problem. Bones that mature too quickly or too slowly may impair a child’s growth. Radiologists measure bone age, or skeletal maturity, by comparing x-rays of children’s hands to the standard for their age. Aspects of this technique haven’t changed in more than 75 years. GPU-accelerated deep learning is poised to change that. Researchers at Massachusetts General Hospital’s new Clinical Data Science Center are testing an automated bone-age analyzer they’ve created. It speeds diagnosis of children’s growth problems and is nearly as accurate as human radiologists. What Bone Age Says About Health Set to begin clinical trials soon, the automated analyzer would assist radiologists rather than replace them, said Synho Do,…


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