Rosacea is a common chronic inflammatory condition characterised by recurrent facial flushing, persistent erythema, telangiectasia, and inflammatory lesions and, if left untreated, may lead to cutaneous and ocular complications. Early diagnosis and targeted treatment are essential to prevent progression and improve quality of life. Precise and objective quantification of its clinical manifestations remains a challenge in both clinical practice and research. This study aims to leverage artificial intelligence (AI) and advanced image analysis to standardize the assessment of rosacea severity and monitor treatment responses.
Beyond Redness: AI-Driven Profiling of Rosacea Severity and Morphological Marker

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