Artificial intelligence, digital health, and data science are increasingly integrated into gastroenterology, offering powerful tools to enhance diagnosis, treatment, and healthcare delivery. AI-driven systems improve lesion detection in endoscopy, optimize workflow efficiency, and support clinical decision-making. Digital health platforms enable telemedicine, remote monitoring, and patient-reported outcome tracking, particularly for chronic GI diseases. Data science allows large-scale analysis of clinical, imaging, and molecular data to identify patterns and predict outcomes. Ethical considerations, data quality, and clinician oversight remain critical for safe implementation. This topic highlights current applications, challenges, and future opportunities for AI and digital innovation in advancing gastrointestinal care.
Title : Gastroenterology viewed through a glass darkly: An IDI perspective
Gilles R G Monif, University of Florida, United States
Title : The psychology of disorders of gut-brain interactions
Tracy E Hill, Ph.D. & Associates LLC, United States
Title : How epigastric impedance would radically change gastric medicine
John Andrew Sutton, Gastria Ltd, United Kingdom
Title : Role of Pregnancy (P) and breastfeeding on Gallstones (GS) related Acute Pancreatitis (AP)
Alberto Maringhini, La Maddalena, Italy
Title : From the birth of atoms to life: Iodine and caesium, angels and demons of evolutionary biology, in pancreatic cancer and diabetes
Venturi Sebastiano, AUSL-ROMAGNA, Italy
Title : The IL17REL gene encodes a decoy receptor of IL-17 family cytokines to control gut inflammation
Youcun Qian, Shanghai Institute of Nutrition and Health, China