摘要
银屑病是一种慢性炎症性皮肤病,中西医结合治疗在提升疗效和降低副作用方面展现出显著潜力,然而仍面临证型判断主观性较强、数据整合困难等挑战。人工智能技术通过机器学习、计算机视觉等先进方法,在银屑病的中医证型分类、用药规律挖掘、西医诊断与严重程度评估、疗效预测等方面取得了显著进展。目前,基于神经网络的证型分类模型准确率高达88%以上,而深度学习模型在皮损识别方面甚至优于部分皮肤科医生。然而,数据质量参差不齐、多模态融合困难、临床验证不足、系统集成问题以及如何保护患者隐私依然是当前亟待解决的主要挑战。未来,需着力发展数据标准化、开发轻量化模型等,进一步推动人工智能在中西医结合银屑病诊疗中的精准化和个性化发展。
Psoriasis is a chronic inflammatory skin disease.Integrated traditional Chinese and Western medicine has shown significant potential in improving therapeutic effects and reducing side effects.However,it still faces challenges such as strong subjectivity in syndrome type judgment and difficulty in data integration.Artificial intelligence technology through advanced methods such as machine learning and computer vision,has made remarkable progress classification of psoriasis syndrome types in traditional Chinese medicine,mining of prescription patterns,diagnosis and severity assessment in Western medicine,and prediction of therapeutic effects.At present,the syndrome classification model based on neural networks has an accuracy rate above 88%,and the deep learning model even outperforms some dermatologists in the identification of skin lesions.Nevertheless,uneven data quality,difficulties in multimodal fusion,insufficient clinical validation,and system integration issues remain the main challenges that need to be urgently addressed at present.In the future,efforts should be made to develop data standardization and lightweight models,etc.,to further promote the precision and personalization of artificial intelligence in the integrated traditional Chinese and Western medicine diagnosis and treatment of psoriasis.
作者
赵汉青
周晟媛
陈莉莉
宋雪骄
崔勇
Zhao Hanqing;Zhou Shengyuan;Chen Lili;Song Xuejiao;Cui Yong(China-Japan Friendship Clinical School,Beijing University of Chinese Medicine,Beijing 100029,China;Department of Dermatology,China-Japan Friendship Hospital,Beijing 100029,China;Big Data Center of China-Japan Friendship Hospital,Beijing 100029,China)
出处
《中国医学前沿杂志(电子版)》
北大核心
2025年第11期1-6,共6页
Chinese Journal of the Frontiers of Medical Science(Electronic Version)
基金
北京市重大疑难疾病中西医协同攻关项目示范项目(2023BJSZDYNJBXTGG-019)。
关键词
银屑病
人工智能
中西医结合
中医证型
Psoriasis
Artificial intelligence
Integration of traditional Chinese and Western medicine
Traditional Chinese Medicine syndrome types
