Chen Yusheng, Gong Zhenni, Liang Su, Zhang Yicheng, Cheng Weihao, Jia Xuesong, Ren Luoyi, Wang Xue
Department of Dermatology, The First Affiliated Hospital of Shihezi University, Shihezi, China.
Shihezi University School of Medicine, Shihezi, China.
Digit Health. 2025 Sep 10;11:20552076251377957. doi: 10.1177/20552076251377957. eCollection 2025 Jan-Dec.
Atopic dermatitis (AD) is a complex, chronic inflammatory skin disease that requires individualised and precise diagnostic and treatment strategies. In recent years, digital technologies have opened new avenues for its diagnosis and treatment. This article descriptively reviews the progress of digital technologies in AD from four aspects: diagnosis, treatment, care, and research and development. Artificial intelligence (AI)-assisted analysis of skin lesion images improves diagnostic objectivity, while skin ultrasound quantifies inflammatory indicators. Telemedicine platforms optimise treatment plans by integrating real-time monitoring data, and smart devices enhance skin barrier management. Multi-omics combined with AI-assisted drug design accelerates the development of targeted therapies. Despite challenges such as data privacy and technical standardisation, digital technologies are establishing a closed-loop system of "monitoring-intervention-feedback," driving a paradigm shift in AD diagnosis and treatment. Future efforts should focus on deepening technology integration, interdisciplinary collaboration and real-world data application to achieve full-cycle individualised management.
特应性皮炎(AD)是一种复杂的慢性炎症性皮肤病,需要个体化且精确的诊断和治疗策略。近年来,数字技术为其诊断和治疗开辟了新途径。本文从诊断、治疗、护理以及研发四个方面对数字技术在特应性皮炎中的进展进行了描述性综述。人工智能(AI)辅助分析皮肤病变图像提高了诊断的客观性,而皮肤超声可量化炎症指标。远程医疗平台通过整合实时监测数据优化治疗方案,智能设备则加强了皮肤屏障管理。多组学与AI辅助药物设计相结合加速了靶向治疗的开发。尽管存在数据隐私和技术标准化等挑战,但数字技术正在建立一个“监测-干预-反馈”的闭环系统,推动特应性皮炎诊断和治疗的范式转变。未来的努力应集中在深化技术整合、跨学科合作和真实世界数据应用上,以实现全周期个体化管理。