How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders

Artificial intelligence (AI) applications in medicine are rapidly evolving. Deep learning diagnostic models that can accurately classify skin lesions have been developed. New AI applications are also starting to emerge in the hair restoration field. The objective was to review the current and future clinical applications of AI in hair restoration and hair disorder diagnosis. Current AI applications in hair restoration include fully automated systems for hair detection and hair growth measurement. New deep learning-based systems have been proposed for scalp diagnosis and automated hair loss measurements, including devices that can be used for self-diagnosis. Hair restoration experts should recognize the potential benefits and limitations of these emerging technologies as they become more readily available to both clinicians and patients.

Automated summary

Artificial intelligence applications in medicine, such as deep learning diagnostic models for skin lesions, are rapidly evolving, with new AI applications now emerging in hair restoration and disorder diagnosis. Current AI applications in hair restoration include fully automated systems for hair detection and growth measurement, while new deep learning-based systems are being proposed for scalp diagnosis and automated hair loss measurements, including devices for self-diagnosis. As these emerging technologies become more accessible to clinicians and patients, hair restoration experts should be aware of their potential benefits and limitations.