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

• Main Authors: Kai Huang (Author), Xian Wu (Author), Yixin Li (Author), Chengzhi Lv (Author), Yangtian Yan (Author), Zhe Wu (Author), Mi Zhang (Author), Weihong Huang (Author), Zixi Jiang (Author), Kun Hu (Author), Mingjia Li (Author), Juan Su (Author), Wu Zhu (Author), Fangfang Li (Author), Mingliang Chen (Author), Jing Chen (Author), Yongjian Li (Author), Mei Zeng (Author), Jianjian Zhu (Author), Duling Cao (Author), Xing Huang (Author), Lei Huang (Author), Xing Hu (Author), Zeyu Chen (Author), Jian Kang (Author), Lei Yuan (Author), Chengji Huang (Author), Rui Guo (Author), Alexander Navarini (Author), Yehong Kuang (Author), Xiang Chen (Author), Shuang Zhao (Author)
• Format: Book
• Published: JMIR Publications, 2023-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundPsoriasis is one of the most frequent inflammatory skin conditions and could be treated via tele-dermatology, provided that the current lack of reliable tools for objective severity assessments is overcome. Psoriasis Area and Severity Index (PASI) has a prominent level of subjectivity and...