Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis.

ABSTRACT:

Importance

The recent advances in the field of machine learning have raised expectations that computer-aided diagnosis will become the standard for the diagnosis of melanoma.

Objective

To critically review the current literature and compare the diagnostic accuracy of computer-aided diagnosis with that of human experts.

Data sources

The MEDLINE, arXiv, and PubMed Central databases were searched to identify eligible studies published between January 1, 2002, and December 31, 2018.

Study selection

Studies that reported on the accuracy of automated systems for melanoma were selected. Search terms included melanoma, diagnosis, detection, computer aided, and artificial intelligence.

Data extraction and synthesis

Evaluation of the risk of bias was performed usi

SUBMITTER: Dick V 

PROVIDER: S-EPMC6584889 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature