research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.