Testing computer tools to help assess skin lesions remotely
Studies teledermoscopy and AI tools to help assess skin cancer.
Plain-language title generated from the registry record
Registry title: Implementation of Teledermoscopy and Artificial Intelligence
Key facts
- Where
- Lund, SwedenSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for people with a skin lesion that a doctor has examined and for whom the doctor decides to send a teledermoscopy referral.
- Age
- 15 years and older
- Sex
- All sexes can join.
- Disease stage
- A skin lesion assessed by a physician during a visit. No stage is given.
Main reasons for not taking part
- Cannot or does not want to take part in the study
- Younger than 15 years old
- Images of such bad quality that they cannot be assessed
Read by machine on 12 November 2026.
Where in Sweden
- Department of dermatology, Skane University HospitalLund, SwedenContact: Asa Ingvar, PhDTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Region Skane
- Trial code
- NCT05033678
- Record updated
- 16 October 2026
- Original description
The study has 2 parts. Part 1 will investigate the effects of introducing teledermoscopy in clinical practice, more specifically the change in referral patterns, the risk of undetected skin cancers and the effect on diagnostic accuracy in general practitioners.Read full original descriptionShow less
Teledermoscopy and Artificial Intelligence: Effects of Implementation in Clinical Practice
The study has 2 parts. Part 1 will investigate the effects of introducing teledermoscopy in clinical practice, more specifically the change in referral patterns, the risk of undetected skin cancers and the effect on diagnostic accuracy in general practitioners.
Part 2 will create artificial intelligence (AI) as support tools for teledermocsopic assessors and investigate the effect of introducing AI within teledermocsopy. In this study the investigators will measure the diagnostic accuracy of teledermoscopic assessors that had access to the results of artificial intelligence algorithm compared to those who did not.
Data will be collected through teledermoscopic referrals, patient records, national registries and questionnairs.
Inclusion: Has a skin lesion assessed by a physician during a visit; The physician decides to create a teledermoscopy referral.
Exclusion: the patient is younger than 15 years old; inability or unwillingness to participate in the study; Images of such bad quality they cannot be assessed.