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

Artificial Intelligence (1748) Machine Learning (1742) Imaging Informatics (235)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44932, first published .
Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application

Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application

Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application

Authors of this article:

Kai Huang1, 2, 3, 4 Author Orcid Image ;   Xian Wu5 Author Orcid Image ;   Yixin Li1, 2, 3, 4 Author Orcid Image ;   Chengzhi Lv6 Author Orcid Image ;   Yangtian Yan5 Author Orcid Image ;   Zhe Wu5 Author Orcid Image ;   Mi Zhang1, 2, 3, 4 Author Orcid Image ;   Weihong Huang7 Author Orcid Image ;   Zixi Jiang1, 2, 3, 4 Author Orcid Image ;   Kun Hu1, 2, 3, 4 Author Orcid Image ;   Mingjia Li1, 2, 3, 4 Author Orcid Image ;   Juan Su1, 2, 3, 4 Author Orcid Image ;   Wu Zhu1, 2, 3, 4 Author Orcid Image ;   Fangfang Li1, 2, 3, 4 Author Orcid Image ;   Mingliang Chen1, 2, 3, 4 Author Orcid Image ;   Jing Chen1 Author Orcid Image ;   Yongjian Li8 Author Orcid Image ;   Mei Zeng9 Author Orcid Image ;   Jianjian Zhu10 Author Orcid Image ;   Duling Cao11 Author Orcid Image ;   Xing Huang1, 2, 3, 4 Author Orcid Image ;   Lei Huang5 Author Orcid Image ;   Xing Hu12 Author Orcid Image ;   Zeyu Chen13 Author Orcid Image ;   Jian Kang14 Author Orcid Image ;   Lei Yuan15 Author Orcid Image ;   Chengji Huang15 Author Orcid Image ;   Rui Guo15 Author Orcid Image ;   Alexander Navarini16, 17 Author Orcid Image ;   Yehong Kuang1, 2, 3, 4 Author Orcid Image ;   Xiang Chen1, 2, 3, 4 Author Orcid Image ;   Shuang Zhao1 Author Orcid Image
Article Authors Cited by (29) Tweetations (6) Metrics

Journals

  1. Singh S, Awasthi R. Breakthroughs and bottlenecks of psoriasis therapy: Emerging trends and advances in lipid based nano-drug delivery platforms for dermal and transdermal drug delivery. Journal of Drug Delivery Science and Technology 2023;84:104548 View
  2. Cummins M, Ong T, Ivanova J, Barrera J, Wilczewski H, Soni H, Welch B, Bunnell B. Consensus Guidelines for Teledermatology: Scoping Review. JMIR Dermatology 2023;6:e46121 View
  3. Nikam R, Gowtham M, More P, Shinde A. Current and emerging prospects in the psoriatic treatment. International Immunopharmacology 2023;120:110331 View
  4. Hartmann K, Brenner M, Brandt O, Contassot E, Cvijetic I, Erni B, Geiges M, Izakovic J, Kunz M, Merkel T, Müller A, Mühleisen B, Müller S, Schmidt V, Sonntag A, Vasconcelos R, Zehnder M, Navarini A. Dermatologische Klinik des Universitätsspitals Basel. Aktuelle Dermatologie 2023;49(10):422 View
  5. Sharma R, Sharma M, Mahendra A, Sharma U, Singh S, Ramniwas S, Sharma A. Artificial Intelligence Bringing Newer Paradigms in the Diagnosis, Treatment, and Management of Psoriasis. Current Dermatology Reports 2023;12(4):314 View
  6. Giansanti D. Advancing Dermatological Care: A Comprehensive Narrative Review of Tele-Dermatology and mHealth for Bridging Gaps and Expanding Opportunities beyond the COVID-19 Pandemic. Healthcare 2023;11(13):1911 View
  7. Venkatesh K, Raza M, Nickel G, Wang S, Kvedar J. Deep learning models across the range of skin disease. npj Digital Medicine 2024;7(1) View
  8. Yin H, Chen H, Zhang W, Zhang J, Cui T, Li Y, Yu N, Yu Y, Long H, Xiao R, Su Y, Li Y, Zhang G, Tan Y, Wu H, Lu Q. Image‐based remote evaluation of PASI scores with psoriasis by the YOLO‐v4 algorithm. Experimental Dermatology 2024;33(4) View
  9. Smith P, Johnson C, Haran K, Orcales F, Kranyak A, Bhutani T, Riera-Monroig J, Liao W. Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review. Current Dermatology Reports 2024;13(3):141 View
  10. Rokni G, Gholizadeh N, Babaei M, Das K, Datta S. Artificial Intelligence in Inflammatory Skin Disorders. Dermatological Reviews 2024;5(3) View
  11. Barlow R, Bewley A, Gkini M. AI in Psoriatic Disease: Scoping Review. JMIR Dermatology 2024;7:e50451 View
  12. Gençoğlu Ş. Analysis of skin health management through telemedicine and mobile health in dermatology in the post-COVID era. The European Research Journal 2025;11(1):113 View
  13. Li H, Chen G, Zhang L, Xu C, Wen J. A review of psoriasis image analysis based on machine learning. Frontiers in Medicine 2024;11 View
  14. Zhao S, Luo Z, Wang Y, Gao X, Tao J, Cui Y, Chen A, Cai D, Ding Y, Gu H, Gu J, Ji C, Kang X, Lu Q, Lv C, Li M, Li W, Liu W, Li X, Li Y, Man X, Qiao J, Sun L, Shi Y, Wu W, Xia J, Xiao R, Yang B, Kuang Y, Chen Z, Fang J, Kang J, Yang M, Zhang M, Su J, Zhang X, Chen X. Expert Consensus on Big Data Collection of Skin and Appendage Disease Phenotypes in Chinese. Phenomics 2024;4(3):269 View
  15. Ricci C. Advances in Diagnosis of Skin and Superficial Tissue Disorders—“Old and Emerging” Diagnostic Tools. Diagnostics 2024;14(21):2414 View
  16. Reddy D, Roy S, Kumar S, Tripathi R, Prabha N. PVEMLPTS: design of an efficient psoriasis and vitiligo detection model through enhanced machine learning and personalized treatment strategies. International Journal of Information Technology 2025;17(4):2087 View
  17. Shaw I, Ali Y, Nie C, Zhang K, Chen C, Xiao Y. Integrating Artificial Intelligence and Microfluidics Technology for Psoriasis Therapy: A Comprehensive Review for Research and Clinical Applications. Advanced Intelligent Systems 2025;7(4) View
  18. McMullen E, Al Naser Y, Maazi M, Grewal R, Abdel Hafeez D, Folino T, Vender R. Predicting psoriasis severity using machine learning: a systematic review. Clinical and Experimental Dermatology 2025;50(3):520 View
  19. Morawski R. Teaching measurement science and technology in the times of pervasive AI. Measurement: Sensors 2024:101315 View
  20. Ghorbian M, Ghobaei-Arani M, Ghorbian S. A comprehensive study on the application of machine learning in psoriasis diagnosis and treatment: taxonomy, challenges and recommendations. Artificial Intelligence Review 2024;58(2) View
  21. Wang W, Chen X, Xu L, Huang K, Zhao S, Wang Y. Artificial Intelligence–Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study. Journal of Medical Internet Research 2024;26:e52914 View
  22. Hollman D, Doktorchik C, Mukovozov I. Emerging Uses of Artificial Intelligence in Chronic Dermatologic Disease: A Scoping Review. Journal of Cutaneous Medicine and Surgery 2024 View
  23. Huang K, Sun K, Li J, Wu Z, Wu X, Duan Y, Chen X, Zhao S. Intelligent strategy for severity scoring of skin diseases based on clinical decision-making thinking with lesion-aware transformer. Artificial Intelligence Review 2025;58(4) View
  24. Tozlu B, Faruk Akmeşe Ö, Şimşek C, Şenel E. A New Diagnosing Method for Psoriasis From Exhaled Breath. IEEE Access 2025;13:25163 View
  25. Wang Y, Wang X, Ming X, Gu Y, Wang Q, Zhu M, Qin L, Li F, Xiao Y, Hu H, Du C, Zhang Y, Zhang M, Hu R, Li W. Development of an Artificial Intelligence–Based Model to Precisely Measure Body Surface Area in Psoriasis. Journal of Investigative Dermatology 2025 View
  26. Vezeteu P, Andronescu A, Năstac D. A Literature Review on Artificial Intelligence in Dermatological Diagnosis and Tissue Microscopy. IEEE Photonics Journal 2025;17(3):1 View

Books/Policy Documents

  1. Murray B, Tan W, Canas L, Smith C, Mahil S, Ourselin S, Modat M. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops. View
  2. Sasikala S, Raghini M, Alli P. AI-Assisted Computational Approaches for Immunological Disorders. View

Conference Proceedings

  1. Kamran S, Lucas M, Lutnick B, Parmar C, Pal B, Shah A, Apfel D, Fakharzadeh S, Miller L, Yip S, Standish K, Cula G. 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks View