Inflammatory bowel diseases (IBD), subdivided into Crohn’s disease (CD) and ulcerative colitis (UC), are chronic diseases that are characterized by relapsing and remitting periods of inflammation in the gastrointestinal tract. In recent years, the amount of research surrounding digital health (DH) and artificial intelligence (AI) has increased. The purpose of this scoping review is to explore this growing field of research to summarize the role of DH and AI in the diagnosis, treatment, monitoring and prognosis of IBD. A review of 21 articles revealed the impact of both AI algorithms and DH technologies; AI algorithms can improve diagnostic accuracy, assess disease activity, and predict treatment response based on data modalities such as endoscopic imaging and genetic data. In terms of DH, patients utilizing DH platforms experienced improvements in quality of life, disease literacy, treatment adherence, and medication management. In addition, DH methods can reduce the need for in-person appointments, decreasing the use of healthcare resources without compromising the standard of care. These articles demonstrate preliminary evidence of the potential of DH and AI for improving the management of IBD. However, the majority of these studies were performed in a regulated clinical environment. Therefore, further validation of these results in a real-world environment is required to assess the efficacy of these methods in the general IBD population.

中文翻译：

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数字健康和人工智能在炎症性肠病中的作用：范围界定综述


炎症性肠病（IBD）分为克罗恩病（CD）和溃疡性结肠炎（UC），是一种慢性疾病，其特征是胃肠道炎症的复发和缓解期。近年来，围绕数字健康（DH）和人工智能（AI）的研究数量不断增加。本次范围审查的目的是探索这个不断发展的研究领域，总结 DH 和 AI 在 IBD 诊断、治疗、监测和预后中的作用。对 21 篇文章的回顾揭示了 AI 算法和 DH 技术的影响；人工智能算法可以提高诊断准确性，评估疾病活动性，并根据内窥镜成像和遗传数据等数据模式预测治疗反应。在 DH 方面，使用 DH 平台的患者在生活质量、疾病知识、治疗依从性和药物管理方面都得到了改善。此外，卫生保健方法可以减少亲自预约的需要，从而在不影响护理标准的情况下减少医疗资源的使用。这些文章展示了 DH 和 AI 在改善 IBD 管理方面的潜力的初步证据。然而，这些研究大部分是在受监管的临床环境中进行的。因此，需要在现实环境中进一步验证这些结果，以评估这些方法在一般 IBD 人群中的疗效。