NCT04758988

Brief Summary

Background: The worldwide incidence of skin cancer has been rising for 50 years, in particular the incidence of malignant melanoma has increased approx. 2-7% annually and is the most common cancer amongst Danes aged 15-34. Currently there is a significant amount of misdiagnosis of skin cancer and mole cancer, and most excised skin lesions are benign. Previous studies have shown that there is no significant increase in doctors diagnostic accuracy during the first 6 years of clinical work. The resources spend on healthy people could be put to better use, if the Benign-Malignant Ratio could be lowered. This could potentially be done by better educating the doctors during their everyday clinical practice. Aim: The aim of this study is to investigate the dose/response effect of an AI augmented training and clinical feedback on the diagnostic accuracy of skin cancer and clinical decisions among doctors from specialized skin cancer centers. Research question: How much specialized doctors need to train before their diagnostic accuracy and clinical decisions change?

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,500

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Sep 2021

Typical duration for not_applicable

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 12, 2021

Completed
5 days until next milestone

First Posted

Study publicly available on registry

February 17, 2021

Completed
7 months until next milestone

Study Start

First participant enrolled

September 15, 2021

Completed
2.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2024

Completed
Last Updated

October 16, 2024

Status Verified

October 1, 2024

Enrollment Period

2.6 years

First QC Date

February 12, 2021

Last Update Submit

October 14, 2024

Conditions

Keywords

Artificial IntelligenceEducationDiagnostic AccuracySkin CancerMelanomaFeedback loop

Outcome Measures

Primary Outcomes (1)

  • Dose/Response

    Dose/response between hours spent with the education system and change in diagnostic accuracy for the participating doctors

    2 years

Secondary Outcomes (3)

  • BMR

    2 years

  • Multiple-Choice-Questionnaire predictability of diagnostic accuracy

    2 months

  • Referrals

    2 years

Study Arms (2)

Group A

OTHER

This group will receive access to the AI augmented digital online educational system and its two modules (Training Module and Clinical Feedback Module). They will receive continuous clinical feedback on their registered lesions.

Other: DermLoop Learn

Group B

NO INTERVENTION

This group is withheld their access to the AI augmented digital online educational system for 2 months. After the 2 months delay, the subjects in the group are given the same access as the participants in Group A.

Interventions

DermLoop Learn is our AI augmented digital online educational system with case training on a library of 10,000+ benign and malignant skin lesion as well as written learning modules for the most common skin lesion diagnosis.

Group A

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Doctors are required to work at a specialized skin department (dermatology or plastic surgery or the like).
  • Doctors must be registered authorized health personnel

You may not qualify if:

  • Doctors that have previously received access to the DermLoop Learn educational intervention
  • Doctors with less than 2 months left of their affiliation with their current department of employment

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Herlev Hospital

Copenhagen, 2730, Denmark

Location

Gentofte Hospital

Copenhagen, 2900, Denmark

Location

MeSH Terms

Conditions

MelanomaSkin Neoplasms

Condition Hierarchy (Ancestors)

Neuroendocrine TumorsNeuroectodermal TumorsNeoplasms, Germ Cell and EmbryonalNeoplasms by Histologic TypeNeoplasmsNeoplasms, Nerve TissueNevi and MelanomasNeoplasms by SiteSkin DiseasesSkin and Connective Tissue Diseases

Study Officials

  • Gustav G Nervil, MD

    Herlev Hospital

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
Participating doctors are either given access to an AI augmented digital educational online system or not. During the study period, doctors of both groups are registering skin lesions they encounter in their daily practice using the same hardware and software. The expert dermatologists that evaluate the registered skin lesions are unaware of the registering doctors allocation.
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Model Details: A randomized superiority clinical trial. Participating doctors are randomized to either group A or B in a 1:1 ratio.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

February 12, 2021

First Posted

February 17, 2021

Study Start

September 15, 2021

Primary Completion

April 30, 2024

Study Completion

April 30, 2024

Last Updated

October 16, 2024

Record last verified: 2024-10

Locations