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The proposed study is a pivotal, multi-center retrospective reader study designed to determine whether the use of DermDx as a concurrent reading aid improves the performance of primary care physicians (PCPs) in diagnosing skin cancers.
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The proposed study is a pivotal, multi-center retrospective reader study designed to determine whether the use of DermDx as a concurrent reading aid improves the performance of primary care physicians (PCPs) in diagnosing skin cancers.
DermDx is a deep learning-based algorithm that analyzes lesion images to detect skin cancer. The software does not have dedicated hardware and can accept as input any dermoscopic images taken with commercial dermoscopes.
Because the study is designed to investigate the change in the performance of the PCPs before and after seeing the device output, a single-arm study design has been used.
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81 participants in 1 patient group
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Majid Razmara, PhD; Vijitha Senanayake, PhD
Data sourced from clinicaltrials.gov
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