泪器疾病是一类常见的眼科疾病，其诊疗过程复杂，治疗方法精细，涉及多种临床数据及影像资料。现有研究表明，随着人工智能（artificial intelligence，AI）技术，尤其是机器学习和深度学习的发展，AI在泪器疾病的早期筛查、精确诊断和个性化治疗中展现了巨大的应用潜力。AI能够通过高效的图像分析、多模态数据融合及深度学习算法，提供更加精确的疾病识别和治疗方案，并且能够对患者的病情进行定期监测和动态调整，提升治疗效果。然而，其仍面临诸多挑战，如多模态数据融合的复杂性、模型泛化能力的局限以及实时预测和动态调整的需求等，需要通过持续的技术创新、算法优化和跨学科合作来实现。文章对当前AI在泪器疾病诊疗中的应用现状进行了全面梳理和总结，深入分析了AI技术在诊断与治疗中的优势与局限，特别强调了AI与新兴技术的结合在优化临床决策支持系统方面的重要性。通过分析现有的挑战与技术融合策略，文章提出了AI在泪器疾病诊疗中的发展方向，旨在为未来的研究者提供创新性的思路，为眼科领域的临床实践提供有价值的参考，助力泪器疾病的精准医疗和个性化治疗的发展。

Lacrimal disorders are common ophthalmic conditions characterized by complex diagnostic and treatment processes, involving intricate therapeutic approaches and diverse clinical and imaging data. Recent studies have indicated that with the advancements in artificial intelligence (AI) technologies, particularly in machine learning and deep learning, AI demonstrates significant potential in the early screening, accurate diagnosis, and personalized treatment of lacrimal disorders. AI has the ability to provide more precise disease identification and treatment strategies through efficient image analysis, multimodal data fusion, and deep learning algorithms. Additionally, it enables regular monitoring and dynamic adjustment of patients' conditions, improving treatment outcomes. However, several challenges persist, such as the complexity of multimodal data integration, limitations in model generalization capabilities, and the need for real-time prediction and dynamic adjustments, all of which necessitate continuous technological innovations, algorithm optimization, and interdisciplinary collaborations. This paper provides a comprehensive review of the current status of AI applications in the diagnosis and treatment of lacrimal disorders, analyzing the advantages and limitations of AI in clinical practice. It especially emphasizes the importance of integrating AI with emerging technologies to optimize clinical decision support systems. By addressing the existing challenges and exploring strategies for technological integration, this paper proposes future directions for the development of AI in lacrimal disorder diagnosis and treatment, aiming to offer innovative perspectives for future researchers and valuable references for clinical practice in the field of ophthalmology, ultimately contributing to the advancement of precision medicine and personalized treatment for lacrimal disorders.

目的：研究IgG4相关性眼病(IgG4-related ophthalmic disease, IgG4-ROD)患者的影像学特征与外周血免疫球蛋白G4(IgG4)水平之间的相关性，为评估IgG4相关性疾病全身性严重程度提供新思路。方法：收集2023年8月—2024年9月在吉林大学第二医院眼科医院经术后组织标本病理确诊的29例IgG4-ROD阳性患者。回顾性分析患者眼眶影像学特点与血清IgG4水平相关性，探讨影像学中特征性表现包括泪腺肿大、三叉神经分支增粗、眼外肌增粗、鼻黏膜类炎症改变、眼睑软组织肥厚，以及其他眶内软组织增生等特征性影像学改变出现比例，并按照累及组织结构情况分级评分，评估特征性影像学改变与血清IgG4水平之间的相关性。结果：29例病理确诊IgG4-ROD患者中，泪腺均受累，占比100%；眼外肌受累17例，占比58.62%；三叉神经分支受累5例(4例眶下神经受累，3例额神经病受累，2例眶下神经与额神经同时受累)，占比17.24%眼睑软组织肥厚24例，占比82.76%鼻黏膜出现类炎症反应15例，占比51.72%；合并眶内其他软组织增生性病变2例，占比6.90%。影像学中特征性受累组织结构分级评分与血清IgG4水平呈正相关(P < 0.05)。结论：IgG4-ROD影像学中特征性组织结构受累及范围与血清IgG4水平明显相关，可以辅助评估IgG4相关性疾病全身性严重程度。

Objective: To investigate the correlation between the imaging characteristics of patients with IgG4-related ophthalmic disease (IgG4-ROD) and the serum immunoglobulin G4 (IgG4) levels, providing new insights for assessing the systemic severity of IgG4-related diseases. Methods: This study collected postoperative tissue samples from 29 patients with histopathologically conffrmed IgG4-ROD at the Ophthalmology Department of Jilin University Second Hospital from August 2023 to September 2024. TTis study retrospectively analyzed the correlation between patients' orbital imaging features and serum IgG4 levels, and explored the proportion of characteristic imaging changes including enlargement of the lacrimal gland, thickening of the trigeminal nerve branches, thickening of the extraocular muscles, inffammatory like changes of the nasal mucous membranes, hypertrophy of the eyelid soft tissues, as well as hyperplasia of other intraorbital soft tissues in the imaging. A grading score for affected tissue structures was established to evaluate the correlation between characteristic imaging changes and serum IgG4 levels. Results: Among the 29 patients diagnosed with IgG4-ROD, lacrimal gland involvement was observed in all patients (100%). Extraocular muscle involvement was present in 17 patients (58.62%). Five patients had involvement of the trigeminal nerve branches (including 4 with infraorbital nerve involvement and 3 with frontal nerve involvement, with 2 patients having simultaneous involvement of both nerves), accounting for 17.24% of the cases. Eyelid soff tissue hypertrophy was observed in 24 patients (82.76%), and nasal mucosal inflammatory responses were noted in 15 patients (51.72%). Additionally, two patients (6.90%) presented with other proliferative lesions within the orbit. The correlation analysis between the grading scores for imaging features and serum IgG4 levels demonstrated a significant positive correlation. Conclusions: The extent of characteristic structural involvement observed in the imaging features of IgG4-ROD is significantly correlated with serum IgG4 levels. TTis correlation can assist in evaluating the systemic severity of IgG4-related diseases and provides clinical evidence supporting the need for comprehensive systemic evaluations, such as PET-CT, in patients whose initial presentation is IgG4-related ophthalmic disease.