An AI-Based Erythema Measurement System for Psoriasis Lesions
ConditionPsoriasis
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorKhon Kaen University
About this trial
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.
Eligibility criteria
Qualifiers
Adults aged ≥18 years
Diagnosed with psoriasis by a dermatologist
Presence of at least five clearly photographable lesions
Willing and able to take photographs using a smartphone with both a standard color calibration card and a study-specific color card at home weekly, and submit images via Line or email
Disqualifiers
Presence of skin infection or other lesions that may interfere with color assessment (e.g., tattoos)
Use of self-tanning products or substances that alter skin color
Inability to perform photography or comply with study procedures
Trial design
Treatments tested in this trial
- No additional drugs(control Group)
Treatment groups
No treatment groups listed
Sponsors and collaborators
Source ClinicalTrials.gov