The model accurately classifies hair conditions with 97% accuracy.
232 citations,
January 2016 in “BMC Bioinformatics” The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
1 citations,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
2 citations,
November 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.