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Retrospective study on an AI-based diagnostic model for pigmentary disorders

Retrospective study on an AI-based diagnostic model for pigmentary disorders

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600120776
Enrollment
Unknown
Registered
2026-03-19
Start date
2026-04-01
Completion date
Unknown
Last updated
2026-03-23

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

Conditions

Pigmentation disorders

Interventions

Observation cohort (all subjects):None

Sponsors

Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Confirmed diagnosis of pigmentary skin disease involving the face, trunk, or extremities; 2.Availability of standardized imaging data. 3.Complete baseline clinical information.

Exclusion criteria

Exclusion criteria: 1.Imaging data that do not meet the requirements for AI model development. 2.History of multiple prior treatments that cannot be reliably ascertained. 3.Significant confounding skin conditions in the treatment area (e.g., severe acne, eczema, allergic dermatitis, impaired skin barrier), or factors that would clearly interfere with outcome assessment (e.g., conspicuous scars, excessive hair). 4.Serious systemic diseases (e.g., liver disease, cardiovascular disease, dyslipidemia, anemia, coagulation disorders, infectious diseases, psoriasis, diabetes). 5.Any other condition deemed by the investigators to make the participant unsuitable for inclusion.

Design outcomes

Primary

MeasureTime frame
Diagnosis of pigmentation disorders;Efficacy of photodynamic therapy for pigmentation disorders;The predictive performance of AI models (such as the area under the ROC curve (AUC), sensitivity, specificity, etc.;

Secondary

MeasureTime frame
Association between demographic characteristics, treatment parameters, and treatment outcomes;Incidence of adverse events in relation to baseline characteristics and treatment regimen;Performance of the model across different subgroups;

Countries

China

Contacts

Public ContactYao Min

Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine

my058@vip.sina.com+86 18917797606

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 3, 2026