Digital horizons: Exploring the future of AI-enabled gastroenterology in the Kingdom of Saudi Arabia

Abstract

Artificial intelligence is rapidly reshaping gastroenterology through demonstrable gains in diagnostic precision, procedural quality, and operational efficiency. AI-assisted colonoscopy has consistently shown absolute improvements of 5%-10% in adenoma detection rates, while deep-learning systems in capsule endoscopy can reduce reading time by more than 80% without compromising diagnostic yield. Although applications in EUS, cholangioscopy, and predictive modelling for inflammatory bowel disease remain at an exploratory stage, emerging studies indicate meaningful potential in lesion characterization, risk stratification, and automated disease-activity assessment. In Saudi Arabia, adoption of these technologies is still limited; however, the Kingdom's expanding digital infrastructure, unified data-governance initiatives, and strategic direction under Vision 2030 provide a strong foundation for responsible and scalable deployment. Local disease patterns, including a rising burden of colorectal neoplasia, steatotic liver disease (SLD) and inflammatory bowel disease (IBD), further highlight the need for data-driven approaches that can enhance early detection, guide targeted interventions, and optimize long-term management. This review synthesizes global evidence and Saudi-specific healthcare priorities to outline a strategic, phased framework for integrating AI into national gastroenterology practice. Key recommendations include embedding AI literacy within clinician training, developing standardized national data pipelines, initiating pilot implementations within major tertiary centers, and establishing clear ethical and regulatory pathways for clinical approval and oversight. Through coordinated investment in education, infrastructure, and governance, Saudi Arabia is positioned to advance from early experimentation to regional leadership in AI-enabled digestive healthcare.

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