Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at, first published .
Artificial Intelligence for Skin Cancer Detection: Scoping Review

Artificial Intelligence for Skin Cancer Detection: Scoping Review

Artificial Intelligence for Skin Cancer Detection: Scoping Review


  1. Zhou Y, Shi Y, Lu W, Wan F. Did Artificial Intelligence Invade Humans? The Study on the Mechanism of Patients’ Willingness to Accept Artificial Intelligence Medical Care: From the Perspective of Intergroup Threat Theory. Frontiers in Psychology 2022;13 View
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  5. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida A, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano M, Solvoll T, Granja C, Schopf T, Callico G, Soguero-Ruiz C, Wägner A. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. Journal of Medical Internet Research 2023;25:e44030 View
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  10. Liu Y, Primiero C, Kulkarni V, Soyer H, Betz-Stablein B. Artificial Intelligence for the Classification of Pigmented Skin Lesions in Populations with Skin of Color: A Systematic Review. Dermatology 2023;239(4):499 View
  11. Park H, Park S, Lee S, Hwang J, Lee M, Jang S, Jung Y, Yeon Y, Kang N, Suh B, Kim E. Development and application of artificial intelligence‐based facial skin image diagnosis system: Changes in facial skin characteristics with ageing in Korean women. International Journal of Cosmetic Science 2024;46(2):199 View
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  17. Thanga Purni J, Vedhapriyavadhana R. EOSA-Net: A deep learning framework for enhanced multi-class skin cancer classification using optimized convolutional neural networks. Journal of King Saud University - Computer and Information Sciences 2024;36(3):102007 View
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Books/Policy Documents

  1. Završnik A. Artificial Intelligence, Social Harms and Human Rights. View
  2. de Lima L, Krohling R. Intelligent Systems. View
  3. Dhiman A, Chauhan N. Proceedings of the International Health Informatics Conference. View