7th Global Gastroenterology and Artificial Intelligence Summit (Live)

Agenda

Pdf Summary

The 7th Annual Global Artificial Intelligence Summit on Gastroenterology will be held on September 13, 2025, in Washington, DC, focusing on "Redefining GI with AI: Innovation, Implementation, and Influence." The event begins with a networking reception on September 12. The full-day agenda includes expert-led sessions addressing AI's role in gastroenterology innovation, policy, and practical implementation.<br /><br />The morning sessions explore co-creating AI innovations in GI medicine, highlighting foundational models, natural language processing, and clinician-AI collaboration to develop smarter, clinically relevant tools. Panel discussions and roundtables will tackle the development of foundation models for endoscopy and AI's purposeful use in inflammatory bowel disease.<br /><br />Midday, sessions emphasize influence through policy, offering legislative updates, ethical and legal considerations, payment models for digital health, and NIH’s role in advancing AI innovation. A panel will debate the stakeholders shaping AI’s future in healthcare.<br /><br />Afternoon sessions focus on real-world implementation, including regulatory pathways that balance innovation and safety, integration challenges, and scaling AI across GI services. Discussions will guide practices in selecting and justifying AI adoption.<br /><br />The day concludes with a workshop offering hands-on experience and group discussions on AI breakthroughs reshaping GI care and the industry vision for endoscopic AI's future. Hot topic panels and consensus polling will engage participants on emerging issues.<br /><br />Overall, the summit aims to foster collaboration among clinicians, researchers, industry, and policymakers to advance artificial intelligence's transformative impact on gastroenterology, from innovation and ethical policy to practical application in clinical settings.

Keywords

Artificial Intelligence

Gastroenterology

AI Innovation

Clinician-AI Collaboration

Natural Language Processing

Endoscopy AI

Inflammatory Bowel Disease

Healthcare Policy

Digital Health Payment Models

Regulatory Pathways