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 : Papillary cyst adenoma of epididymis presenting with recurrent hydrocele: A case report
Chandrika Sah, Civil Services Hospital of Nepal, Nepal
Title : The bigger picture: modeling celiac disease with organoids and organ-on-chip platforms
Maria Isabel Torres Lopez, University of Jaen, Spain