AI-assisted diagnosis of nail unit melanoma and melanonychia using a clinical deep learning model.

The proposed convolutional neural networks-based models demonstrated robust performance in differentiating nail unit melanoma from melanonychia and improved diagnostic accuracy and agreement among human evaluators.

While not intended to replace clinical judgment, this approach shows promise as a supportive screening tool in clinical settings, warranting further validation in larger, multi-institutional, and multi-ethnic cohorts.