Introduction: Artificial intelligence (AI) is increasingly being applied to improve the diagnosis and management of inflammatory bowel disease (IBD). Aims and Methods: We conducted a narrative review of the literature on AI applications in IBD endoscopy, focusing on diagnosis, disease activity assessment, therapy prediction, and detection of dysplasia. Results: AI systems have demonstrated high accuracy in assessing endoscopic and histological disease activity in ulcerative colitis and Crohn’s disease, with performance comparable to expert clinicians. Machine learning models can predict response to biologics and risk of complications. AI-assisted technologies like confocal laser endomicroscopy enable real-time histological assessment. Computer-aided detection systems improve identification of dysplastic lesions during surveillance. Challenges remain, including need for larger datasets, external validation, and addressing potential biases. Conclusions: AI has significant potential to enhance IBD care by providing rapid, objective assessments of disease activity, predicting outcomes, and assisting in dysplasia surveillance. However, further validation in diverse populations and prospective studies are needed before widespread clinical implementation. With ongoing advances, AI is poised to become a valuable tool to support clinical decision-making and improve patient outcomes in IBD. Addressing methodological, regulatory, and cost barriers will be crucial for the successful integration of AI into routine IBD management.
引言:人工智能(AI)正日益应用于改善炎症性肠病(IBD)的诊断与管理。目的与方法:本文对AI在IBD内镜领域的应用文献进行叙述性综述,重点关注疾病诊断、活动度评估、治疗反应预测及异型增生检测。研究结果:AI系统在评估溃疡性结肠炎和克罗恩病的内镜及组织学疾病活动度方面展现出高准确性,其表现与临床专家水平相当。机器学习模型能够预测生物制剂治疗反应及并发症风险。共聚焦激光显微内镜等AI辅助技术可实现实时组织学评估。计算机辅助检测系统提升了监测期间异型增生病变的识别能力。目前仍存在诸多挑战,包括需要更大规模数据集、外部验证以及解决潜在偏倚问题。结论:AI通过提供快速客观的疾病活动度评估、预测临床结局及辅助异型增生监测,在提升IBD诊疗水平方面具有显著潜力。但在广泛临床应用前,仍需在不同人群中进行进一步验证及开展前瞻性研究。随着技术持续进步,AI有望成为支持IBD临床决策、改善患者预后的重要工具。解决方法论、监管机制及成本障碍等问题,对于AI成功整合到常规IBD诊疗体系中至关重要。
Artificial Intelligence in Advancing Inflammatory Bowel Disease Management: Setting New Standards