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.
1 citations,
October 2023 Syntax-based neural networks can match Transformers in handling unseen sentences.
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.