Clinical trial · Observational
AI-Driven Early Detection of Skin Cancer
NCT07144306CI-TRIAL-00095885Skin CancerrecruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study evaluates the feasibility and accuracy of an AI-powered mobile platform (NuvanaDx) for early detection of skin cancer, including melanoma, using smartphone-based imaging. The platform is designed to improve access to early diagnosis, reduce waiting times, and support triage into appropriate care pathways.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Skin Cancer Melanoma | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Smartphone-based AI skin lesion analysis (NuvanaDx platform). | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Participants with suspicious skin lesions undergoing AI-based image analysis and dermatologist confi
- interventionNames
- Diagnostic Test: Smartphone-based AI skin lesion analysis (NuvanaDx platform).
Primary outcomes (1)
- measure
- Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis
- timeFrame
- Time Frame: Up to 12 months
- description
- Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis Time Frame: Up to 12 months Measure: Sensitivity, specificity, and predictive values
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Months
Show eligibility criteria text
Inclusion Criteria: Adults (≥18 years) presenting with skin lesions suspicious for malignancy. Ability to provide informed consent. Exclusion Criteria: Inability to provide informed consent. Poor-quality images unsuitable for AI analysis.
References
Publications (0)
Data not yet available
No reference posted for this study.