Role of artificial intelligence in irritable bowel syndrome: A narrative review

Figure 1 Data-to-decision framework for the application of artificial intelligence in irritable bowel syndrome and related functional gastrointestinal disorders. Diverse data sources - patient-reported outcomes, clinical and laboratory features, microbiome profiles, and multi-omics data - are integrated and analyzed with machine-learning, deep-learning, and natural language processing methods to support diagnostic refinement, biological subtyping, and personalized treatment selection. This figure is a conceptual framework summarizing potential applications; none of the depicted capabilities is validated for routine clinical use in irritable bowel syndrome. AI: Artificial intelligence; IBS: Irritable bowel syndrome; EHR: Electronic health record.