Industry Symposium by Bayer

AI-IND 7 - Scalable Implementation of Artificial Intelligence Solutions in Clinical Practice: Challenges and Opportunities

February 28, 09:45 - 10:45 CET

This session will explore best practices for scalable AI implementation in clinical settings, highlighting the significant potential of artificial intelligence (AI) to enhance diagnostic and treatment efficiency. It will address the unique challenges related to scalability, system integration, and clinician acceptance while featuring a presentation from Inselspital Bern on effective implementation strategies.
5 min
Introduction
Juan Enrique Gutierrez Alliende, Barcelona / Spain
20 min
Scaling AI: A practical, multidisciplinary perspective
James Blackwood, Glenboig, North Lanarkshir / United Kingdom
In his presentation, James Blackwood will delve into his extensive expertise in the planning and deployment of scalable artificial intelligence solutions specifically tailored for radiology settings. Drawing from years of experience in the field, he will provide valuable insights into the best practices for integrating AI technologies into radiological workflows. Attendees can expect to learn about the challenges and opportunities associated with AI implementation. James will also discuss the future of AI in radiology and its potential to enhance diagnostic accuracy, improve patient outcomes, and streamline operations
20 min
Implementing Scalable and Interoperable AI Solutions in Neuroradiology
Arsany Hakim, Bern / Switzerland
In this engaging session, Dr. Arsany Hakim will present an in-depth exploration of Bern's innovative deployment of an advanced AI platform, designed to facilitate seamless interaction with over a dozen AI outputs tailored for various indications within the neuroradiology field. Dr. Hakim will share invaluable insights and lessons from this initiative, highlighting the transformative potential of artificial intelligence. Attendees will gain a comprehensive understanding of how healthcare organizations can successfully implement AI at scale, overcoming challenges and leveraging best practices to potentially drive meaningful change in patient care
15 min
Q&A