ARTIficial Intelligence-based Smartphone Application for Skin Cancer Detection (ARTIS)

  • End date
    Oct 1, 2023
  • participants needed
  • sponsor
    University Hospital, Ghent
Updated on 9 March 2022


The aim of this project is to assess whether a specific smartphone application (Skinvision App®) can be used as a tool to preselect skin lesions suspicious for skin cancer that require urgent medical advice.


Skin cancer is the most frequent cancer diagnosed and its incidence will keep on rising in the next decade. Early detection and treatment are key to improve both morbidity and mortality, and to decrease the cost to society. Persons at risk of developing skin cancer may be subjected to regular checkups. However a considerable number of skin cancers develop in the low-risk general population. Since systematic screening in the general population is not cost-effective, smartphone applications that use inbuilt algorithms are of increasing interest and claim to assist in making a risk assessment in case of concerning skin lesions.

Based on previous research, a so-called triage consultation was installed at the policlinic of Ghent University Hospital for patients with 1 to 2 lesions of concern: changing mole, ugly duckling, new mole in adult, rapidly growing lesion or non-healing lesion. Skin cancer detection rate in this setting was at least 13% with 4% melanoma. This is 6 to 8-fold higher than reported by conventional skin cancer screening programs (PMID: 26466155; PMID: 33480073). The reason for this is that a preselection of lesions meeting specific criteria is done. This lesion-directed screening may be a way to make skin cancer screening in the general population (more) cost-effective.

In this study we will investigate whether the Skinvision app can function as a preselection tool for lesions for which urgent medical advice is needed. Although this app is CE marked and is already promoted to the public, it's performance and value in daily practice have been insufficiently studied and there is a need for independent research.

The 4 main objectives of this study will be:

  1. To calculate diagnostic performance of the Skinvision App Calculation of sensitivity and specificity by comparing application risk gradings with a reference standard defined as the histopathological diagnosis or clinical diagnosis in case no biopsy or excision was performed;
  2. To determine the repeatability and reproducibility of the Skinvision App Identification of factors that influence the risk analysis of the application, including photographer, type of skin lesion, camera position or lighting conditions;
  3. To examine user-experience and confidence concerning the use of medical apps Questionnaire-based evaluation of the user-experience with applications in general, as well as more specific the willingness and confidence to use a skin cancer detection application;
  4. To estimate the performance and cost-effectiveness of the Skinvision App in the general population Estimation of the app performance in the general population (estimated prevalence of skin cancer 1%) in terms of missed diagnoses and degree of preselection (positive predictive value).

Condition Skin Cancer
Clinical Study IdentifierNCT05246163
SponsorUniversity Hospital, Ghent
Last Modified on9 March 2022


Yes No Not Sure

Inclusion Criteria

Patients with one or two lesions meeting at least one of the following criteria
New mole in an adult (> 18 years old)
'Ugly duckling' sign (i.e. mole that looks different from other moles in the same person)
Changing mole (size, color, shape or structure)
Rapid growing lesion
Non-healing lesion
Written informed consent of the patient

Exclusion Criteria

Lack of informed consent for study participation
Clear my responses

How to participate?

Step 1 Connect with a study center
What happens next?
  • You can expect the study team to contact you via email or phone in the next few days.
  • Sign up as volunteer  to help accelerate the development of new treatments and to get notified about similar trials.

You are contacting

Investigator Avatar

Primary Contact


Additional screening procedures may be conducted by the study team before you can be confirmed eligible to participate.

Learn more

If you are confirmed eligible after full screening, you will be required to understand and sign the informed consent if you decide to enroll in the study. Once enrolled you may be asked to make scheduled visits over a period of time.

Learn more

Complete your scheduled study participation activities and then you are done. You may receive summary of study results if provided by the sponsor.

Learn more

Similar trials to consider


Browse trials for

Not finding what you're looking for?

Every year hundreds of thousands of volunteers step forward to participate in research. Sign up as a volunteer and receive email notifications when clinical trials are posted in the medical category of interest to you.

Sign up as volunteer

user name

Added by • 



Reply by • Private

Lorem ipsum dolor sit amet consectetur, adipisicing elit. Ipsa vel nobis alias. Quae eveniet velit voluptate quo doloribus maxime et dicta in sequi, corporis quod. Ea, dolor eius? Dolore, vel!

  The passcode will expire in None.

No annotations made yet

Add a private note
  • abc Select a piece of text from the left.
  • Add notes visible only to you.
  • Send it to people through a passcode protected link.
Add a private note