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

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 2024:1 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 2024 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 2024 View