Psoriasis is a common chronic inflammatory skin disease. Disease severity is commonly assessed using the Psoriasis Area and Severity Index (PASI), in which erythema is graded subjectively on a 0-4 scale. This visual assessment is prone to significant inter- and intra-rater variability. Although objective tools such as colorimeters provide accurate erythema measurement, their high cost limits routine clinical use. Smartphone imaging combined with artificial intelligence (AI) offers a practical alternative for objective assessment. However, variability in lighting conditions can affect image consistency. Incorporating a color calibration card enables accurate color normalization. This study aims to develop and validate an AI-based system for measuring erythema in psoriatic lesions using smartphone images with a color card, compared against a standard colorimeter to assess validity and reliability.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
To evaluate the accuracy of erythema measurements of psoriatic lesions obtained from an AI-based erythema model (smartphone imaging with a color calibration card) compared with a standard color calibration device (gold standard).
Timeframe: From enrollment to 12 weeks