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Human-multimodal deep learning collaboration in 'precise' diagnosis of lupus erythematosus subtypes and similar skin diseases.

Qianwen LiZhi YangKaili ChenMing ZhaoHai LongYueming DengHaoran HuChen JiaMeiyu WuZhidan ZhaoHuan ZhuSuqing ZhouMingming ZhaoPengpeng CaoShengnan ZhouYang SongGuishao TangJuan LiuJiao JiangWei LiaoWenhui ZhouBingyi YangFeng XiongSuhan ZhangXiaofei GaoYiqun JiangWei ZhangBo ZhangYan-Ling HeLiwei RanChunlei ZhangWenting WuQuzong SuolangHanhuan LuoXiaojing KangCaoying WuHong-Zhong JinLei ChenQing GuoGuangji GuiShanshan LiHenan SiShuping GuoHong-Ye LiuXiguang LiuGuo-Zhang MaDanqi DengLimei YuanJianyun LuJinrong ZengJiang XianXiaoyan LyuLiuqing ChenBin HuJuan TaoYuhao LiuGang WangGuannan ZhuZhirong YaoQianyue XuBin YangYu WangYan DingXianxu YangHu KaiHaijing WuQianjin Lu
Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2024)
These results highlight the benefit of human-MMDLS collaborated framework in telemedicine by assisting dermatologists and rheumatologists in the differential diagnosis of LE subtypes and similar skin diseases.
Keyphrases
  • endothelial cells
  • deep learning
  • induced pluripotent stem cells
  • pluripotent stem cells
  • soft tissue
  • machine learning
  • rheumatoid arthritis
  • pain management
  • disease activity
  • convolutional neural network