综述

人工智能在泪器疾病诊疗中的应用:挑战与机遇

Application of artificial intelligence in the diagnosis and treatment of lacrimal disorders: challenges and opportunities

:53-66
 
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.
专家共识

血泪诊疗流程的中国专家共识(2024版)

Chinese expert consensus on the diagnosis and treatment procedures of bloody tears (2024)

:1-11
 
血泪是指因各种原因导致眼部流出血性泪液的症状,其病因和临床表现复杂多样,往往涉及多学科多专业。不同病因引起的血泪,无论是临床表现,还是诊治方法均差异很大。为了向临床医生提供可参考的血泪临床诊疗流程,中国医师协会眼科医师分会泪器病专业委员会及中国中西医结合学会眼科专业委员会泪器病学组组织有关专家以临床实践经验为基础,经过认真讨论建立本共识,对血泪的病因、临床特征及诊疗流程提出指导性意见。
Bloody tears refers to the symptoms of blooding tears flowing from the eye due to various reasons. Its etiology and clinical manifestations are complex and diverse, often involving multiple disciplines and specialties. In order to provide clinicians with a reference for the clinical diagnosis and treatment process of bloody tears, Lacrimal Diseases Professional Committee of Ophthalmologist Branch of Chinese Medical Doctor Association and Lacrimal Diseases Group of Ophthalmic Professional Committee of Chinese Association of Integrated Medicine organized relevant experts to establish this consensus based on clinical practice after serious discussion, and put forward guiding opinions on the etiology, clinical characteristics, and diagnosis and treatment process of bloody tears.
其他期刊
  • 眼科学报

    主管:中华人民共和国教育部
    主办:中山大学
    承办:中山大学中山眼科中心
    主编:林浩添
    主管:中华人民共和国教育部
    主办:中山大学
    浏览
  • Eye Science

    主管:中华人民共和国教育部
    主办:中山大学
    承办:中山大学中山眼科中心
    主编:林浩添
    主管:中华人民共和国教育部
    主办:中山大学
    浏览
推荐阅读
出版者信息