白癜风是以皮肤色素脱失为主要表现的顽固性皮肤病，临床上极易与其他皮肤白斑混淆导致误诊，且病情评估及治疗非常困难。基于影像数据进行深度学习的人工智能技术在皮肤疾病诊疗中具有显著优势，但由于缺乏高质量的临床数据资源，且在图像特征提取、异构数据融合处理、智能诊疗的可解释性等诸多方面存在技术瓶颈，导致白癜风智能辅助诊疗应用受限。本项目申请方致力于白癜风的临床应用研究，积累了大量优质影像数据资源，合作团队在医学图像智能分析、病历文本挖掘和分类、生理数据采集系统研发等方面有扎实的技术储备。本项目结合双方优势，前期已初步建立了白癜风的人工智能诊断模型，拟进一步借助理论分析、数据演练、临床验证等手段，以临床照片、皮肤镜图像等影像数据为基础，结合临床信息、生物学指标检测等，研发基于多模态异构数据融合处理的白癜风智能诊断算法和病情评估新方法，并研发白癜风光疗的智能辅助决策系统，提升白癜风诊疗水平。

Vitiligo is a refractory cutaneous disease with skin depigmentation as the main manifestation. It is easy to confuse vitiligo with other skin depigmentation disease, which leads to misdiagnosis, and clinically challenging in evaluating its progression and treatment. Artificial intelligence technology based on deep learning of image data has significant advantages in skin disease diagnosis and treatment. However, due to the lack of high-quality clinical data resources and technical bottlenecks in image feature extraction, heterogeneous data fusion processing, and interpretability of intelligent diagnosis and treatment, the application of artificial intelligence-assisted diagnosis and treatment of vitiligo is limited. The applicant of this project is committed to the clinical application research of vitiligo and has accumulated a large amount of high-quality image data resources, and the cooperation team has solid technical reserves in medical image intelligent analysis, medical record text mining and classification, and physiological data acquisition system development. Combining the advantages of both teams, the project has initially established the artificial intelligent diagnosis model of vitiligo, and intends to further develop the intelligent diagnosis algorithm and new method of disease assessment based on multimodal heterogeneous data fusion processing of vitiligo with the help of theoretical analysis, data exercise and clinical validation, based on clinical photographs, dermatoscopic images and other imaging data, combined with clinical information, biological index detection, etc., to develop intelligent auxiliary decision-making system for vitiligo phototherapy to improve the level of vitiligo treatment.