An AI-Based Erythema Measurement System for Psoriasis Lesions

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.

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Key information

Conditions

Psoriasis Skin Diseases Skin Diseases, Papulosquamous Skin and Connective Tissue Diseases

Age range

18 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Khon Kaen University

Khon Kaen, Changwat Khon Kaen, 40002, Thailand

Location contact

Suteeraporn Chaowattanapanit

CONTACT

[email protected]

+66891879719

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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 criteria

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

Treatment and study plan

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.

Primary outcomes

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

Study contacts

Contact information is provided by the study sponsor or research team.

Suteeraporn Chaowattanapanit

CONTACT

[email protected]

+66891879719

Sponsors and collaborators

Lead sponsor

Khon Kaen University

Other

Registry information

Official study title

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

Important dates

Study start: 2026
Primary completion: 2027
Study completion: 2027
First posted: Mar 27, 2026
Registry last updated: Mar 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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