Scalp Disease

Scalp diseases, including alopecia and conditions like psoriasis and folliculitis, significantly impact millions, necessitating improved diagnostic tools for early intervention. Current research heavily utilizes deep learning, particularly convolutional neural networks (CNNs), often coupled with image processing techniques like data augmentation, to analyze scalp images and classify various diseases with high accuracy. These AI-driven systems aim to provide faster, more accessible diagnoses, potentially revolutionizing dermatological care by improving both diagnostic speed and patient access to timely treatment. The creation and sharing of standardized datasets are crucial for further advancements in this field.