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
This trial does not accept healthy volunteersQualifiers
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 population
A dermatology clinic in Srinagarind Hospital
Trial design
Design model
Other
Time perspective
Prospective
Treatments tested in this trial
No additional drugs(control Group)
Diagnostic testThis 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.
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
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 weeksSponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: