Cao Fang, Yang Yujie, Guo Cui, Zhang Hui, Yu Qianying, Guo Jing
Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Sinopharm Chongqing Southwest Aluminum Hospital, Beijing, China.
Ann Med. 2025 Dec;57(1):2484665. doi: 10.1080/07853890.2025.2484665. Epub 2025 Apr 8.
Atopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life of patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, and managing AD. AI has various innovative applications in the diagnosis and treatment of atopic dermatitis, with particular emphasis on its significant benefits in medical diagnosis, treatment monitoring, and patient care. AI algorithms, especially those that use deep learning techniques, demonstrate strong performance in recognizing skin images and effectively distinguishing different types of skin lesions, including common AD manifestations. In addition, artificial intelligence has also shown promise in creating personalized treatment plans, simplifying drug development processes, and managing clinical trials. Despite challenges in data privacy and model transparency, the potential of artificial intelligence in advancing AD care is enormous, bringing the future to precision medicine and improving patient outcomes. This manuscript provides a comprehensive review of the application of AI in the process of AD disease for the first time, aiming to play a key role in the advancement of AI in skin health care and further enhance the clinical diagnosis and treatment of AD.
特应性皮炎（AD）是一种常见且复杂的皮肤病，严重影响患者的生活质量。人工智能（AI）技术的最新进展为AD的诊断、治疗和管理引入了新方法。AI在特应性皮炎的诊断和治疗中有各种创新应用，尤其强调其在医学诊断、治疗监测和患者护理方面的显著益处。AI算法，特别是那些使用深度学习技术的算法，在识别皮肤图像和有效区分不同类型的皮肤病变（包括常见的AD表现）方面表现出强大性能。此外，人工智能在制定个性化治疗方案、简化药物开发流程和管理临床试验方面也显示出前景。尽管在数据隐私和模型透明度方面存在挑战，但人工智能在推进AD护理方面的潜力巨大，为精准医学带来未来并改善患者预后。本手稿首次对AI在AD疾病过程中的应用进行了全面综述，旨在在AI在皮肤保健中的推进中发挥关键作用，并进一步提高AD的临床诊断和治疗水平。
