AI-Driven Early Detection of Skin Cancer

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorNuvana Healthcare LTD

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

None

Disqualifiers

None

Trial population

Study Population Description: Individuals undergoing dermatology evaluation in UK clinics, supplemented by retrospective anonymized image datasets.

Trial design

Design model

Ecologic or community

Time perspective

Prospective

Treatments tested in this trial

  • Smartphone-based AI skin lesion analysis (NuvanaDx platform).

    Diagnostic test

    Smartphone-based AI skin lesion analysis (NuvanaDx platform).

Treatment groups

100 Participants
are divided into 1 treatment group
Group A: Participants with suspicious skin lesions undergoing AI-based image analysis and dermatologist confi1 intervention

Trial outcomes

Primary outcomes

1

Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis

Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis Time Frame: Up to 12 months Measure: Sensitivity, specificity, and predictive values

Time frame
Time Frame: Up to 12 months

Secondary outcomes

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Nuvana Healthcare LTD

Lead sponsor

National Institute for Health Research, United Kingdom

Collaborator