Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence Are Revolutionizing Diagnosis and Treatment

January 2024 in “ International Journal of Advanced Computer Science and Applications ”

Quang Vĩnh Trần, Haewon Byeon

deep learning scalp disorders explainable AI image data classification model transparency model reliability data quality model interpretability real-time detection severity prediction data diversity model generalizability XAI

Studysummary This review reports that while deep learning shows promise in diagnosing scalp disorders from images, challenges remain with data quality and model interpretability, suggesting that integrating explainable AI techniques is crucial for building trust and facilitating clinical adoption.

Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer ·

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