Application of Artificial Intelligence in Nutritional Management of Patients with Inflammatory Bowel Disease: a Scoping Review
摘要
Background Diet plays a critical role in the development, progression and prognosis of inflammatory bowel disease (IBD) . Given that specific nutritional guidelines are limited, nutritional management for patients with IBD remains challenging and fraught with uncertainty. Although previous studies have demonstrated that artificial intelligence (AI) shows promising applications in the nutritional management of patients with chronic diseases, research specifically focused on its application in the nutritional management of patients with IBD remains limited. Objective To conduct a scoping review of studies on AI in nutrition management of patients with IBD. Methods Following the methodology of scoping reviews, the databases of PubMed, Web of Science, Embase, Cochrane Library, CINAHL, IEEE Xplore, Association for Computing Machinery Digital Library, SinoMed, CNKI, Wanfang Data, and VIP were systematically searched from inception to March 2024 for studies on the application of AI in the nutritional management of patients with IBD. According to the established inclusion and exclusion criteria, two investigators independently screened the literature, and the basic characteristics of the selected studies were extracted. Results A total of 15 studies were included. The applications of AI in this field include exploring the relationship between diet and IBD, assisting in nutritional assessment, and aiding nutritional interventions. The majority of utilization AI technologies in the included studies are machine learning, with some also employing additional techniques such as natural language processing and deep neural networks. Conclusion AI is beneficial for exploring healthy dietary patterns for patients with IBD and providing personalized nutritional guidance. However, its application in the field of nutritional management in patients with IBD is still in its infancy. Future efforts should focus on strengthening multidisciplinary collaboration, emphasizing the integration o