6th Global Gastroenterology and Artificial Intelligence Summit (Live) | September 2024-Regulatory Landscape for AI in Gastroenterology: an Industry Perspective

Pdf Summary

The document discusses the potential and regulatory challenges of integrating Artificial Intelligence (AI) in the field of gastroenterology. Monika McDole-Russell, the Senior Director of Regulatory Affairs at Medtronic Endoscopy, emphasizes various advantages AI can bring to this medical specialty, such as improved patient outcomes, enhanced diagnostic accuracy, predictive analytics, personalized treatment, operational efficiency, and expanded access to care.<br /><br />However, the development of AI in gastroenterology faces several challenges including data quality and handling, robustness and generalization, bias, continuous improvement, clinical trials and real-world evidence (RWE), and ethical considerations. The document underscores the necessity for data-driven reviews in regulatory processes, pointing out that proving clinical utility and validity, as well as ensuring transparency and interpretability, are essential.<br /><br />The regulation of AI-enabled medical devices should align with existing frameworks but also adapt to the unique, iterative aspects of AI technologies. The regulatory landscape for AI in gastroenterology must evolve to address the specific risks and intended uses of these products. <br /><br />Collaboration among stakeholders is highlighted as a key opportunity for navigating these regulatory changes. By addressing these challenges and leveraging opportunities for collaboration, the evolving regulatory landscape can facilitate the safe and effective integration of AI in gastroenterology.<br /><br />This summary provides insights mentioned at the 6th Global Gastroenterology and Artificial Intelligence Summit held on September 7, 2024.

Asset Subtitle

Monika McDole-Russell, MSRA

Keywords

Artificial Intelligence

Gastroenterology

Regulatory Challenges

Medtronic Endoscopy

Patient Outcomes

Diagnostic Accuracy

Predictive Analytics

Clinical Trials

Ethical Considerations

Regulatory Landscape