
A deep learning model using hand X-ray parameters has improved the diagnosis of Turner syndrome (TS). Key skeletal indicators, including metacarpal ratios and ulnar-radial angles, showed strong diagnostic potential. The AI-based ResNet50 model achieved 78.89% accuracy, offering a promising screening tool for early TS detection and reducing misdiagnosis.
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