Connecting the dots – Integrating AI into the Radiology workflow
Artificial Intelligence (AI) is considered one of the main catalysts for innovation in radiology. Its underlying promise is to empower radiologists to improve patient outcomes by reducing the burden of repetitive tasks and support diagnosis accuracy. Nevertheless, the migration of AI algorithms from research to a clinical setting has faced constraints and their use is still not mainstream.
Join us for this round table symposia in which renown experts in AI for Radiology provide insights on how to go from theory to practice when implementing AI in a clinical environment. In this session you will learn:
- How to identify bottlenecks in your workflow that would be solved by AI
- How to build a Business Case for an AI implementation
- How to measure short and long-term success of AI in radiology
Prof. Dr. Declan O’Regan
Director of Imaging Research at Imperial College London, MRC investigator and Consultant Radiologist
Prof. Dr. med. Michael Forsting
Chairman of Diagnostic Interventional radiology and Neuroradiology and Medical Chairman of Central IT at UK Essen
Dr. Amrita Kumar
Consultant Radiologist and Clinical Lead AI | Frimley Health NHS Foundation Trust
Prof. Dr. med Roland Wiest
Deputy Chief Physician at Inselspital Bern and Professor for Advanced Neuroimaging at University of Bern
This symposium is organized and funded by Bayer. This article is intended for healthcare professionals only. For adverse event reporting information, please contact your local country’s Bayer representative.