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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
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07494396
Enrollment
50
Registered
2026-03-27
Start date
2026-11-01
Completion date
2027-04-20
Last updated
2026-08-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Psoriasis

Brief 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.

Interventions

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.

Sponsors

Khon Kaen University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frame
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).From enrollment to 12 weeks

Countries

Thailand

Contacts

CONTACTSuteeraporn Chaowattanapanit
csuteeraporn@yahoo.com+66891879719

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 6, 2026