Gastroenterology and Liver

Artificial Intelligence & Digital Health in GI

Artificial intelligence (AI) and digital health are transforming gastroenterology by enabling more accurate diagnostics, personalized treatment planning, and improved patient monitoring. This session explores AI applications in endoscopy, radiology, predictive analytics, and disease risk stratification. Participants will review machine learning algorithms for polyp detection, cancer screening, and disease progression prediction. Digital health platforms, wearable devices, and telemedicine applications that enhance patient engagement and chronic disease management will also be covered, highlighting innovative approaches to modern GI care.

Additionally, this track emphasizes challenges, opportunities, and ethical considerations in implementing AI-driven solutions. Discussions will include validation of AI tools, regulatory frameworks, data privacy, and integration into clinical workflows. Participants will gain insights into how AI can improve efficiency, reduce diagnostic errors, and enable evidence-based personalized care. This session is designed for clinicians, researchers, technologists, and healthcare administrators aiming to leverage AI and digital innovations in gastroenterology and hepatology.