Clinical trial · Observational
Implementation of Teledermoscopy and Artificial Intelligence
Teledermoscopy and Artificial Intelligence: Effects of Implementation in Clinical Practice
- 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)
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 investigate how to introduce artificial intelligence (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.
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 | Malignant Skin Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Diagnostic algorithms | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (4)
- measure
- Effect on referral patterns
- timeFrame
- 2 years
- description
- Measure how referral patterns are affected by the introduction of teledermoscopy
- measure
- Effect on diagnostic accuracy due to availability of artificial intelligence
- timeFrame
- 8 years
- description
- Measuring if the diagnostic accurcy differs depending on if physician can see the results of the artificial intelligence.
- measure
- Risk of undetected skin cancer
- timeFrame
- 2 years
- description
- Measuring if the risk of undetected skin cancer increases with the use of teledermoscopy
- measure
- Artificial intelligence timing and effect on diagnostic accuracy and willingness to rethink the preliminary diagnosis
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 15 Years
Show eligibility criteria text
Inclusion Criteria: * Has a skin lesion assessed by a physician during a visit * The physician decides to create a teledermoscopy referral Exclusion Criteria: * inability or unwillingness to participate in the study * the patient is younger than 15 years old * Images of such bad quality they cannot be assessed
References
Publications (1)
- DERIVEDNatterdahl C, Kristensson H, Persson B, Lapins J, Ivert LU, Radros N, Schultz K, Sand C, Lundgren S, Pahlow Mose A, Ingvar J, Dizdarevic A, Nielsen K, Ingvar A. When Are Single Reader Evaluations Insufficient in Teledermoscopic Assessments? Analyses of a Retrospective Cohort Study. Telemed J E Health. 2025 May;31(5):579-589. doi: 10.1089/tmj.2024.0532. Epub 2025 Jan 27. PMID 39869017