An AI-Based Erythema Measurement System for Psoriasis Lesions

Sponsor
Khon Kaen University
Study ID
NCT07494396
Status
Not Yet Recruiting

Notify me when recruiting opens

Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.

Not yet recruiting

Add your contact details and location so we can keep your interest tied to this study.

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 100 Years
Healthy Volunteers
Not accepted

Interventions

  • No additional drugs(control Group) — DIAGNOSTIC_TEST
    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.

Study Details

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.

Key Dates

First listed
Mar 27, 2026
Start date
Apr 20, 2026
Status verified
Mar 2026
Primary completion
Apr 20, 2027
Completion
Apr 20, 2027

Study Design

Enrollment
50 participants (estimated)

Primary Outcome Measure

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). [ Time Frame: From enrollment to 12 weeks ]

Central Contacts

Find similar trials

Nationwide
Psoriasis trialsDermatology trialsRheumatology trialsAutoimmune disease trials

Related Studies