The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis.

Journal: BMC medical informatics and decision making
Published Date: Jul 28, 2023

Abstract

BACKGROUND: With rising incidence of skin cancer and relatively increased mortality rates, an improved diagnosis of such a potentially fatal disease is of vital importance. Although frequently curable, it nevertheless places a considerable burden upon healthcare systems. Among the various types of skin cancers, non-melanoma skin cancer is most prevalent. Despite such prevalence and its associated cost, scant proof concerning the diagnostic accuracy via Artificial Intelligence (AI) for non-melanoma skin cancer exists. This study meta-analyzes the diagnostic test accuracy of AI used to diagnose non-melanoma forms of skin cancer, and it identifies potential covariates that account for heterogeneity between extant studies.

Authors

  • Kuang Ming Kuo
    Department of Healthcare Administration, I-Shou University, No.8, Yida Rd., Yanchao District, Kaohsiung City, 82445, Taiwan, ROC.
  • Paul C Talley
    Department of Applied English, I-Shou University, No. 1, Sec. 1, Syuecheng Rd., Dashu District, Kaohsiung City, 84001, Taiwan, ROC.
  • Chao-Sheng Chang
    Department of Occupational Therapy, I-Shou University, No. 1, Yida Rd., Yanchao District, 82445, Kaohsiung City, Taiwan, Republic of China. zincfinger522@yahoo.com.tw.

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