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

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

Among them, 214 visits were of low severity (PASI≤5), 119 visits were of medium severity (510). All pairs of these visits were enumerated, that is, C2429=91,806 pairs in total. For each pair, we predicted the PASI score of these 2 visits. If the order of the predicted PASI scores was the same as the order of manual annotated PASI scores, we regarded it as a successful trend prediction; otherwise, we regarded it as an incorrect prediction.

Kai Huang, Xian Wu, Yixin Li, Chengzhi Lv, Yangtian Yan, Zhe Wu, Mi Zhang, Weihong Huang, Zixi Jiang, Kun Hu, Mingjia Li, Juan Su, Wu Zhu, Fangfang Li, Mingliang Chen, Jing Chen, Yongjian Li, Mei Zeng, Jianjian Zhu, Duling Cao, Xing Huang, Lei Huang, Xing Hu, Zeyu Chen, Jian Kang, Lei Yuan, Chengji Huang, Rui Guo, Alexander Navarini, Yehong Kuang, Xiang Chen, Shuang Zhao

J Med Internet Res 2023;25:e44932