Artificial Intelligence in Gastroenterology: Beyond Diagnostics and Toward Lifestyle and Dietary Interventions For Gastrointestinal Disorders

Gastrointestinal (GI) diseases such as inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), celiac disease, liver cirrhosis, and functional gastroesophageal reflux disorder (GERD) are often associated with a substantial increase in various symptoms, including pain, a reduced quality of life, and the need for medical attention. Dietary and lifestyle changes remain the backbone of treatment for many of these diseases, but they are not always implemented due to obstacles such as low adherence, a lack of customization, inadequate health insurance, and difficulty in accessing expert advice. Artificial intelligence (AI) has demonstrated significant potential in gastroenterology, particularly in diagnostics such as endoscopy and imaging. However, its therapeutic applications, especially in providing diet and lifestyle support, remain in early stages. To bridge this gap, this narrative review examines the potential of AI to deliver culturally responsive, scalable, and personalized dietary guidance to this patient population. The significance of this approach cannot be overstated, particularly for patients from diverse racial backgrounds and for those who lack access to medical treatment. AI offers a solution that utilizes natural language processing (NLP), predictive analytics, and real-time patient support, thereby helping to improve adherence, personalize advice, and extend treatment beyond the clinic. One option is to integrate digital medicines, microbiome data, wearables, and AI-driven systems to ensure proactive management of GI problems through continuous monitoring. When AI is developed in an ethical manner that protects data and emphasizes integrity, it can gradually transform the dietary management of GI disorders. AI could help improve GI health by encouraging a more proactive and personalized approach to treatment, increasing patient independence, and reducing unnecessary physician visits.