481
Views
12
CrossRef citations to date
0
Altmetric
Articles

Artificial intelligence image recognition of melanoma and basal cell carcinoma in racially diverse populations

&
Pages 2257-2262 | Received 28 May 2021, Accepted 06 Jun 2021, Published online: 30 Jun 2021
 

Abstract

Background

Artificial intelligence (AI) image recognition models have been relatively successful in diagnosing cutaneous manifestations in individuals with light skin tone. However, when these models are tested on the same cutaneous manifestations in individuals with darker or brown skin tone, the performance of the model drops due to a paucity of such images available for model training.

Objective

The objective of this study was to improve the performance of AI models in recognizing cutaneous diseases in individuals with darker skin tone.

Methods

Unsupervised computer darkening of skin color with preservation of the dermatological disease/lesion characteristics in images of light-skinned individuals with basal cell carcinoma (BCC), and melanoma was performed.

Results

Training an AI model on these artificially “darkened” images as compared to training on the original “light-skinned” images resulted in a higher sensitivity, specificity, positive predictive value, negative predictive value, F1 score and area under the receiver-operating characteristic curve of the AI model in differentiating between BCC and melanoma in individuals with brown skin tone.

Conclusion

Use of unsupervised image to image translation in medical AI image recognition models has the potential to significantly improve their accuracy in diagnosing diseases in individuals with racially diverse skin tone.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.