Diagnostics, Journal Year: 2025, Volume and Issue: 15(7), P. 939 - 939
Published: April 7, 2025
Background: Artificial intelligence (AI) developed for skin cancer recognition has been shown to have comparable or superior performance dermatologists. However, it is uncertain if current AI models trained predominantly with lighter Fitzpatrick types can be effectively adapted Asian populations. Objectives: A systematic review was performed summarize the existing use of artificial detection in Methods: Systematic search conducted on PubMed and EMBASE articles published regarding amongst Information study characteristics, model outcomes collected. Conclusions: Current studies show optimistic results utilizing Asia. comparison image abilities might not a true representation diagnostic versus dermatologists real-world setting. To ensure appropriate implementation, maximize potential AI, improve transferability across various genotypes cancers, crucial focus prospective, real-world-based practice, as well expansion diversification databases used training validation.
Language: Английский