This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Machine Learning (1465) Imaging Informatics (193) Machine Learning from Digital Images in Dermatology (9) Dermatology (45) Digital Photography and Imaging in Dermatology (32) Research Tools in Dermatology (5)

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

Authors of this article:

Kai Huang1, 2, 3, 4 Author Orcid Image ;   Zixi Jiang1, 2, 3, 5 Author Orcid Image ;   Yixin Li1, 2, 3, 5 Author Orcid Image ;   Zhe Wu6 Author Orcid Image ;   Xian Wu6 Author Orcid Image ;   Wu Zhu1, 2, 3, 4 Author Orcid Image ;   Mingliang Chen1, 2, 3, 4 Author Orcid Image ;   Yu Zhang7 Author Orcid Image ;   Ke Zuo8 Author Orcid Image ;   Yi Li9 Author Orcid Image ;   Nianzhou Yu1, 2, 3, 4 Author Orcid Image ;   Siliang Liu1, 2, 3, 4 Author Orcid Image ;   Xing Huang1, 2, 3, 4 Author Orcid Image ;   Juan Su1, 2, 3, 4 Author Orcid Image ;   Mingzhu Yin1, 2, 3, 4 Author Orcid Image ;   Buyue Qian10 Author Orcid Image ;   Xianggui Wang2, 3, 4, 11 Author Orcid Image ;   Xiang Chen1, 2, 3, 4 Author Orcid Image ;   Shuang Zhao1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (19) Tweetations (3) Metrics

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 robot integrated with artificial intelligence for skin tumor surgery - experimental study and case series. International Journal of Surgery 2024 View
  12. Manuelyan K, Dragolov M, Drenovska K, Shahid M, Vassileva S. Artificial intelligence in autoimmune bullous dermatoses. Clinics in Dermatology 2024;42(5):426 View
  13. Rokni G, Gholizadeh N, Babaei M, Das K, Datta S. Artificial Intelligence in Inflammatory Skin Disorders. Dermatological Reviews 2024;5(3) View
  14. Ozaki Y, Broughton P, Abdollahi H, Valafar H, Blenda A. Integrating Omics Data and AI for Cancer Diagnosis and Prognosis. Cancers 2024;16(13):2448 View
  15. Liu Y, Huang K, Chen M, Zhao S, He Z, Lu L, Wei T. High-frequency ultrasound-assisted Mohs micrographic surgery for the treatment of dermatofibrosarcoma protuberans. Journal of Plastic, Reconstructive & Aesthetic Surgery 2024;96:186 View
  16. Goessinger E, Gottfrois P, Mueller A, Cerminara S, Navarini A. Image-Based Artificial Intelligence in Psoriasis Assessment: The Beginning of a New Diagnostic Era?. American Journal of Clinical Dermatology 2024;25(6):861 View
  17. Badr M, Elkasaby A, Alrahmawy M, El-Metwally S. A Multi-model Deep Learning Architecture for Diagnosing Multi-class Skin Diseases. Journal of Imaging Informatics in Medicine 2024 View

Books/Policy Documents

  1. Singh N. Parasitic Infections. View