Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26025, first published .
The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence

The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence

The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence

Journals

  1. Rezk E, Eltorki M, El-Dakhakhni W. Improving Skin Color Diversity in Cancer Detection: Deep Learning Approach. JMIR Dermatology 2022;5(3):e39143 View
  2. Huang K, Wu X, Li Y, Lv C, Yan Y, Wu Z, Zhang M, Huang W, Jiang Z, Hu K, Li M, Su J, Zhu W, Li F, Chen M, Chen J, Li Y, Zeng M, Zhu J, Cao D, Huang X, Huang L, Hu X, Chen Z, Kang J, Yuan L, Huang C, Guo R, Navarini A, Kuang Y, Chen X, Zhao S. Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application. Journal of Medical Internet Research 2023;25:e44932 View
  3. Grossarth S, Mosley D, Madden C, Ike J, Smith I, Huo Y, Wheless L. Recent Advances in Melanoma Diagnosis and Prognosis Using Machine Learning Methods. Current Oncology Reports 2023;25(6):635 View
  4. Ahn H, Lee M, Seong S, Lee M, Na G, Chun I, Kim Y, Hong C. BioEdge: Accelerating Object Detection in Bioimages with Edge-Based Distributed Inference. Electronics 2023;12(21):4544 View
  5. Li H, Zhang P, Wei Z, Qian T, Tang Y, Hu K, Huang X, Xia X, Zhang Y, Cheng H, Yu F, Zhang W, Dan K, Liu X, Ye S, He G, Jiang X, Liu L, Fan Y, Song T, Zhou G, Wang Z, Zhang D, Lv J. Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text. Frontiers in Artificial Intelligence 2023;6 View
  6. Liu Z, Wang X, Ma Y, Lin Y, Wang G. Artificial intelligence in psoriasis: Where we are and where we are going. Experimental Dermatology 2023;32(11):1884 View
  7. Foltz E, Witkowski A, Becker A, Latour E, Lim J, Hamilton A, Ludzik J. Artificial Intelligence Applied to Non-Invasive Imaging Modalities in Identification of Nonmelanoma Skin Cancer: A Systematic Review. Cancers 2024;16(3):629 View
  8. Hartmann T, Passauer J, Hartmann J, Schmidberger L, Kneilling M, Volc S. Basic principles of artificial intelligence in dermatology explained using melanoma. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024;22(3):339 View
  9. Hartmann T, Passauer J, Hartmann J, Schmidberger L, Kneilling M, Volc S. Grundprinzipien der künstlichen Intelligenz in der Dermatologie erklärt am Beispiel des Melanoms. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024;22(3):339 View
  10. Salinas M, Sepúlveda J, Hidalgo L, Peirano D, Morel M, Uribe P, Rotemberg V, Briones J, Mery D, Navarrete-Dechent C. A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. npj Digital Medicine 2024;7(1) View
  11. Huang K, Liao J, He J, Lai S, Peng Y, Deng Q, Wang H, Liu Y, Peng L, Bai Z, Yu N, Li Y, Jiang Z, Su J, Li J, Tang Y, Chen M, Lu L, Chen X, Yao J, Zhao S. A real-time augmented reality system integrated with artificial intelligence for skin tumor surgery: experimental study and case series. International Journal of Surgery 2024;110(6):3294 View

Books/Policy Documents

  1. Singh N. Parasitic Infections. View