AI-Augmented Skin Cancer Diagnosis in Teledermatoscopy

Study Purpose

In this study an artificial intelligence (AI) tool for skin cancer diagnosis is implemented in a teleldermatoscopy platform. The aim is to study the effects on clinician diagnostic accuracy, management decisions, and confidence. Furthermore, this prospective randomized study investigates the role of human factors in determining clinician reliance on AI tools and the consequent accuracy in a real-world setting.

Recruitment Criteria

Accepts Healthy Volunteers Healthy volunteers are participants who do not have a disease or condition, or related conditions or symptoms	Yes
Study Type An interventional clinical study is where participants are assigned to receive one or more interventions (or no intervention) so that researchers can evaluate the effects of the interventions on biomedical or health-related outcomes. An observational clinical study is where participants identified as belonging to study groups are assessed for biomedical or health outcomes. Searching Both is inclusive of interventional and observational studies.	Interventional
Eligible Ages	18 Years and Over
Gender	All

More Inclusion & Exclusion Criteria

Inclusion Criteria:

- Licensed physician.

- Working at a dermatology clinic.

- Sufficient knowledge in Swedish.

- Written consent to participate.

Exclusion Criteria:

- No experience of using dermatoscopy.

- Does not wish to participate.

- Incomplete answers.

- Physicians that are involved in the patients' clinical care relating to the teledermoscopical consult

Trial Details

Trial ID: This trial id was obtained from ClinicalTrials.gov, a service of the U.S. National Institutes of Health, providing information on publicly and privately supported clinical studies of human participants with locations in all 50 States and in 196 countries.	NCT06080711
Phase Phase 1: Studies that emphasize safety and how the drug is metabolized and excreted in humans. Phase 2: Studies that gather preliminary data on effectiveness (whether the drug works in people who have a certain disease or condition) and additional safety data. Phase 3: Studies that gather more information about safety and effectiveness by studying different populations and different dosages and by using the drug in combination with other drugs. Phase 4: Studies occurring after FDA has approved a drug for marketing, efficacy, or optimal use.	N/A
Lead Sponsor The sponsor is the organization or person who oversees the clinical study and is responsible for analyzing the study data.	Karolinska University Hospital
Principal Investigator The person who is responsible for the scientific and technical direction of the entire clinical study.	N/A
Principal Investigator Affiliation	N/A
Agency Class Category of organization(s) involved as sponsor (and collaborator) supporting the trial.	Other
Overall Status	Enrolling by invitation
Countries	Sweden
Conditions The disease, disorder, syndrome, illness, or injury that is being studied.	Skin Cancer, Melanoma

Additional Details

Deep-learning algorithms can potentially benefit many areas in healthcare, including the diagnosis of skin cancer using teledermatoscopy. However, there is a dearth of clinical, prospective research on human-AI interaction in diagnostic tasks that take human factors into account. In this study we will examine the impact of such factors in a real-world setting where we integrate an algorithm in an existing teledermatoscopy platform that is used clinically at a tertiary hospital in Sweden. We will investigate what impact various implementations of AI tool output in relation to human factors have on diagnostic accuracy and management decisions. Study subjects are recruited at the Department of Dermatology at Karolinska University Hospital and will be asked to rate prospective teledermatoscopic consults with and without AI-support. Each consult will be randomized into one of three workflows with or without one pre-defined implementation of the AI tool. Study subjects are also asked to complete two surveys with demographic information and questions relating to various human factors. Patients participating in the study will be diagnosed outside the study prior to inclusion without any involvement of an AI tool, notably by two experienced dermatologists who do not participate as study subjects.

Arms & Interventions

Arms

No Intervention: Workflow 1

Standard of care

Experimental: Workflow 2

Consult with AI assistance

Experimental: Workflow 3

First workflow 1, then workflow 2

Interventions

Other: - AI assistance

Participants will be informed of the diagnostic probabilities for each of ten differential diagnoses according to the AI tool

Contact a Trial Team

If you are interested in learning more about this trial, find the trial site nearest to your location and contact the site coordinator via email or phone. We also strongly recommend that you consult with your healthcare provider about the trials that may interest you and refer to our terms of service below.

International Sites

Karolinska University Hospital, Stockholm, Sweden

Status

Address

Karolinska University Hospital

Stockholm, ,

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