NCT07494396

An AI-Based Erythema Measurement System for Psoriasis Lesions

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

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 50 (estimated)
• Sponsor: Khon Kaen University · Academic / Other
• Sex: All
• Age: 18 Years – 100 Years
• Healthy volunteers: Not accepted

Summary

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.

Conditions

• Psoriasis

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	No additional drugs(control Group)	This study is distinct from other clinical studies in that it does not involve any therapeutic intervention or modification of standard patient care. Instead, it evaluates a non-invasive, image-based measurement system that combines smartphone photography, a color calibration card, and artificial intelligence to quantify erythema in psoriasis lesions. Unlike conventional approaches that rely on subjective physician scoring or require specialized and costly equipment, this intervention is designed to be low-cost, accessible, and applicable in real-world settings, including patient self-monitoring at home.

Timeline

• Start date: 2026-04-20
• Primary completion: 2027-04-20
• Completion: 2027-04-20
• First posted: 2026-03-27
• Last updated: 2026-03-27

Locations

1 site across 1 country: Thailand