September 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This review discusses the role of AI in hair and scalp disorder diagnosis and emphasizes its potential in standardized quantitative phenotyping over autonomous diagnosis, but reports no new results.
September 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This paper reviews the current advancements and limitations of AI in diagnosing hair and scalp disorders, emphasizing its role in standardized quantitative phenotyping over autonomous diagnosis, and outlines a framework for future research and validation.
June 2025 in “International Journal of Computational Intelligence Systems” This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.
July 2026 in “Diagnostics” This review outlines the key principles and clinical applications of multimodal non-invasive skin imaging technologies, emphasizing their combined strengths in enhancing diagnosis and treatment assessment in dermatology.
February 2026 in “Dermatology and Therapy” This narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.
