AI Tool Measures Redness of Psoriasis Skin Patches Using a Phone Camera
Tests an AI system that measures redness in psoriasis patches from phone photos.
Plain-language title generated from the registry record
Registry title: An AI-Based Erythema Measurement System for Psoriasis Lesions
Key facts
- Where
- Khon Kaen, ThailandSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 100 years old?
Source: NCT07494396, who can take part
Where in Thailand
- Khon Kaen UniversityKhon Kaen, ThailandNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Khon Kaen University
- Trial code
- NCT07494396
- Record updated
- 5 August 2026
- Original description
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.Read full original descriptionShow less
Development and Validation of an AI-Based Erythema Measurement System for Psoriasis Lesions Using Smartphone Imaging With Color Card Compared to Standard Color Calibration Device
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.
Inclusion: 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; Willing to have clinical photographs taken at baseline and at a follow-up visit; Provides written informed consent to participate in the study.
Exclusion: 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.