AI Augmented Training for Skin Specialists
NCT04758988 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1500
Last updated 2024-10-16
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?
Conditions
Interventions
- OTHER
-
DermLoop Learn
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.
Sponsors & Collaborators
-
Herlev Hospital
lead OTHER
Principal Investigators
-
Gustav G Nervil, MD · Herlev Hospital
Study Design
- Allocation
- RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2021-09-15
- Primary Completion
- 2024-04-30
- Completion
- 2024-04-30
Countries
- Denmark
Study Locations
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