A Novel Approach to Early Detection of Dysgraphia Using Deep Learning Neural Networks

Dysgraphia is a neurological disorder that impairs writing and fine m otor skills, m aking diagnosis c hallenging and often leading to misdiagnosis [1]. It frequently coexists with other neurodevelopmental disorders, emphasizing the need for accurate early detection. This paper reviews current AI-based diagnostic systems for dysgraphia and proposes a deep-learning neural network framework that achieves over $\mathbf{8 0 \%}$ accuracy and $\mathbf{1 0 0 \%}$ sensitivity, significantly improving u pon previous methods [2].