Research progress on the application of machine learning in inflammatory skin diseases
In recent years, the application of artificial intelligence in the healthcare field has received widespread attention. Among them, machine learning technology has been extensively applied in various aspects of inflammatory skin diseases, including screening and diagnosis, management and monitoring,...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | zho |
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editoiral office of Journal of Diagnosis and Therapy on Dermato-venereology
2025-06-01
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| Series: | Pifu-xingbing zhenliaoxue zazhi |
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| Online Access: | http://pfxbzlx.gdvdc.com/EN/10.3969/j.issn.1674-8468.2025.06.011 |
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| _version_ | 1849708547739222016 |
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| author | GUO Jingxue LIU Yongsheng YANG Xueying LI Jiaojiao LI Dan LI Yiqun LI Yanfei ZHANG Junjing |
| author_facet | GUO Jingxue LIU Yongsheng YANG Xueying LI Jiaojiao LI Dan LI Yiqun LI Yanfei ZHANG Junjing |
| author_sort | GUO Jingxue |
| collection | DOAJ |
| description | In recent years, the application of artificial intelligence in the healthcare field has received widespread attention. Among them, machine learning technology has been extensively applied in various aspects of inflammatory skin diseases, including screening and diagnosis, management and monitoring, classification and evaluation, and treatment, providing new methodologies for precision medicine. This article reviews the predictive models, early diagnostic models, disease severity assessment models, differential diagnostic models, automated scoring models, prognostic evaluation models, and disease classification models of machine learning in inflammatory skin diseases, such as atopic dermatitis, acne, and psoriasis. It explores the advancements in machine learning for inflammatory skin diseases and provides new insights for precision treatment and prognosis evaluation. |
| format | Article |
| id | doaj-art-a192d03c324b44909adbe7edef5c667c |
| institution | DOAJ |
| issn | 1674-8468 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | editoiral office of Journal of Diagnosis and Therapy on Dermato-venereology |
| record_format | Article |
| series | Pifu-xingbing zhenliaoxue zazhi |
| spelling | doaj-art-a192d03c324b44909adbe7edef5c667c2025-08-20T03:15:37Zzhoeditoiral office of Journal of Diagnosis and Therapy on Dermato-venereologyPifu-xingbing zhenliaoxue zazhi1674-84682025-06-0132644244810.3969/j.issn.1674-8468.2025.06.011Research progress on the application of machine learning in inflammatory skin diseasesGUO Jingxue0LIU Yongsheng1YANG Xueying2LI Jiaojiao3LI Dan4LI Yiqun5LI Yanfei6ZHANG Junjing7Hohhot First Hospital, Hohhot 010030, ChinaInner Mongolia Autonomous Region Brain Hospital (Mental Health Center), Hohhot 010010, ChinaHohhot First Hospital, Hohhot 010030, ChinaHohhot First Hospital, Hohhot 010030, ChinaHohhot First Hospital, Hohhot 010030, ChinaGraduate School of Inner Mongolia Medical University, Hohhot 010110, ChinaHohhot First Hospital, Hohhot 010030, ChinaHohhot First Hospital, Hohhot 010030, ChinaIn recent years, the application of artificial intelligence in the healthcare field has received widespread attention. Among them, machine learning technology has been extensively applied in various aspects of inflammatory skin diseases, including screening and diagnosis, management and monitoring, classification and evaluation, and treatment, providing new methodologies for precision medicine. This article reviews the predictive models, early diagnostic models, disease severity assessment models, differential diagnostic models, automated scoring models, prognostic evaluation models, and disease classification models of machine learning in inflammatory skin diseases, such as atopic dermatitis, acne, and psoriasis. It explores the advancements in machine learning for inflammatory skin diseases and provides new insights for precision treatment and prognosis evaluation.http://pfxbzlx.gdvdc.com/EN/10.3969/j.issn.1674-8468.2025.06.011machine learninginflammatory skin diseasesartificial intelligenceprediction model |
| spellingShingle | GUO Jingxue LIU Yongsheng YANG Xueying LI Jiaojiao LI Dan LI Yiqun LI Yanfei ZHANG Junjing Research progress on the application of machine learning in inflammatory skin diseases Pifu-xingbing zhenliaoxue zazhi machine learning inflammatory skin diseases artificial intelligence prediction model |
| title | Research progress on the application of machine learning in inflammatory skin diseases |
| title_full | Research progress on the application of machine learning in inflammatory skin diseases |
| title_fullStr | Research progress on the application of machine learning in inflammatory skin diseases |
| title_full_unstemmed | Research progress on the application of machine learning in inflammatory skin diseases |
| title_short | Research progress on the application of machine learning in inflammatory skin diseases |
| title_sort | research progress on the application of machine learning in inflammatory skin diseases |
| topic | machine learning inflammatory skin diseases artificial intelligence prediction model |
| url | http://pfxbzlx.gdvdc.com/EN/10.3969/j.issn.1674-8468.2025.06.011 |
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