Progress in the application of artificial intelligence in patients with atopic dermatitis
Atopic dermatitis (AD) is a chronic inflammatory skin disease characterized by eczema, dry skin and itching. It does not only affect the patients' daily life, but also imposes a huge economic burden on their families. Timely diagnosis and treatment, as well as strengthening the management of AD...
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| Format: | Article |
| Language: | zho |
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editoiral office of Journal of Diagnosis and Therapy on Dermato-venereology
2024-12-01
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| Series: | Pifu-xingbing zhenliaoxue zazhi |
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| Online Access: | http://pfxbzlx.gdvdc.com/EN/10.3969/j.issn.1674-8468.2024.12.011 |
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| _version_ | 1850055454441340928 |
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| author | PANG Yuanyue CAO Tongtong ZHANG Xuemei GUO Yanjie DONG Xue |
| author_facet | PANG Yuanyue CAO Tongtong ZHANG Xuemei GUO Yanjie DONG Xue |
| author_sort | PANG Yuanyue |
| collection | DOAJ |
| description | Atopic dermatitis (AD) is a chronic inflammatory skin disease characterized by eczema, dry skin and itching. It does not only affect the patients' daily life, but also imposes a huge economic burden on their families. Timely diagnosis and treatment, as well as strengthening the management of AD symptoms, can help control the progress of AD. With the development of information technology, the advantages of artificial intelligence (AI) in the diagnosis, treatment, and management of atopic dermatitis are becoming increasingly prominent. For example, it assists doctors in the diagnosis and evaluation of the therapeutic effectiveness, providing effective means for assessing the severity of atopic dermatitis, monitoring allergies and itching, and health education for patients. This review focuses on the application of AI in AD patients, aiming to provide a reference for the innovation of the application of AI in AD patients in China. |
| format | Article |
| id | doaj-art-9014907dcf8c4e08acf7e442bb9ed40f |
| institution | DOAJ |
| issn | 1674-8468 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | editoiral office of Journal of Diagnosis and Therapy on Dermato-venereology |
| record_format | Article |
| series | Pifu-xingbing zhenliaoxue zazhi |
| spelling | doaj-art-9014907dcf8c4e08acf7e442bb9ed40f2025-08-20T02:51:58Zzhoeditoiral office of Journal of Diagnosis and Therapy on Dermato-venereologyPifu-xingbing zhenliaoxue zazhi1674-84682024-12-01311286587010.3969/j.issn.1674-8468.2024.12.011Progress in the application of artificial intelligence in patients with atopic dermatitisPANG Yuanyue0CAO Tongtong1ZHANG Xuemei2GUO Yanjie3DONG Xue4School of Nursing, Changchun University of Traditional Chinese Medicine, Changchun 130117, ChinaSchool of Nursing, Changchun University of Traditional Chinese Medicine, Changchun 130117, ChinaSchool of Nursing, Changchun University of Traditional Chinese Medicine, Changchun 130117, ChinaSchool of Nursing, Changchun University of Traditional Chinese Medicine, Changchun 130117, ChinaSchool of Nursing, Changchun University of Traditional Chinese Medicine, Changchun 130117, ChinaAtopic dermatitis (AD) is a chronic inflammatory skin disease characterized by eczema, dry skin and itching. It does not only affect the patients' daily life, but also imposes a huge economic burden on their families. Timely diagnosis and treatment, as well as strengthening the management of AD symptoms, can help control the progress of AD. With the development of information technology, the advantages of artificial intelligence (AI) in the diagnosis, treatment, and management of atopic dermatitis are becoming increasingly prominent. For example, it assists doctors in the diagnosis and evaluation of the therapeutic effectiveness, providing effective means for assessing the severity of atopic dermatitis, monitoring allergies and itching, and health education for patients. This review focuses on the application of AI in AD patients, aiming to provide a reference for the innovation of the application of AI in AD patients in China.http://pfxbzlx.gdvdc.com/EN/10.3969/j.issn.1674-8468.2024.12.011atopic dermatitisartificial intelligenceseverity assessmentallergy monitoringitching monitoringhealth education |
| spellingShingle | PANG Yuanyue CAO Tongtong ZHANG Xuemei GUO Yanjie DONG Xue Progress in the application of artificial intelligence in patients with atopic dermatitis Pifu-xingbing zhenliaoxue zazhi atopic dermatitis artificial intelligence severity assessment allergy monitoring itching monitoring health education |
| title | Progress in the application of artificial intelligence in patients with atopic dermatitis |
| title_full | Progress in the application of artificial intelligence in patients with atopic dermatitis |
| title_fullStr | Progress in the application of artificial intelligence in patients with atopic dermatitis |
| title_full_unstemmed | Progress in the application of artificial intelligence in patients with atopic dermatitis |
| title_short | Progress in the application of artificial intelligence in patients with atopic dermatitis |
| title_sort | progress in the application of artificial intelligence in patients with atopic dermatitis |
| topic | atopic dermatitis artificial intelligence severity assessment allergy monitoring itching monitoring health education |
| url | http://pfxbzlx.gdvdc.com/EN/10.3969/j.issn.1674-8468.2024.12.011 |
| work_keys_str_mv | AT pangyuanyue progressintheapplicationofartificialintelligenceinpatientswithatopicdermatitis AT caotongtong progressintheapplicationofartificialintelligenceinpatientswithatopicdermatitis AT zhangxuemei progressintheapplicationofartificialintelligenceinpatientswithatopicdermatitis AT guoyanjie progressintheapplicationofartificialintelligenceinpatientswithatopicdermatitis AT dongxue progressintheapplicationofartificialintelligenceinpatientswithatopicdermatitis |