Artificial Intelligence in Gastrointestinal Disorders: Current Updates from Theory to Clinical Practice

Dear Colleagues,

Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL) techniques, is demonstrating remarkable potential in advancing the field of gastroenterology. One of the most promising areas of application is medical imaging, where AI is being integrated into a wide range of modalities, ranging from abdominal ultrasonography to conventional endoscopy. In the context of cancer screening, AI-powered systems are proving especially effective in the early detection of precancerous and cancerous lesions, improving diagnostic accuracy and reducing the likelihood of missed findings. Notably, AI-enhanced endoscopic ultrasonography has shown promising performance in distinguishing between benign and malignant lesions, thereby supporting more accurate differential diagnoses. Additionally, AI is increasingly being utilized in prognostic modeling, offering innovative tools for predicting patient outcomes and informing clinical decision-making. Beyond clinical prediction, AI also serves as a valuable resource for enhancing both patient and physician understanding of various gastrointestinal diseases, supporting more informed discussions, shared decision-making, and overall health literacy. Although the promise of AI in healthcare is well recognized, its integration into clinical practice introduces varied challenging ethical considerations, including the protection of patient privacy, the potential for algorithmic bias, the transparency and interpretability of AI systems, the need for robust validation protocols, and the evolving responsibilities of medical professionals in an AI-assisted landscape.

This Special Issue will explore the growing impact of AI in the field of gastroenterology, offering a comprehensive overview of current evidence. In addition to summarizing the existing data, this Special Issue also presents emerging trends and future perspectives, focusing on the potential of AI to further revolutionize patient management and support personalized medicine in gastroenterology.

Prof. Dr. Maria Pina Dore
Prof. Dr. Elettra Merola
Guest Editors

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