Registration is open! ICAI Deep-Dive: Working with Medical Data

Working with medical data comes with many challenges, ranging from improving data usability to maintaining privacy and security. To outline some of these challenges, ICAI organizes the ICAI Deep-Dive: Working with Medical Data on the 3rd of November, 15:00-18:00. This hybrid event will be moderated by Nancy Irisarri Méndez and will take place on location at Radboud University and online.

Artificial intelligence solutions are rapidly transforming the world by automating tasks that for long have been performed by humans solely. Training on increasingly massive datasets is one of the enablers of this widespread use of robust and trailblazing models. However, due to socioeconomic and legal restrictions, the industry lacks large-scale medical datasets to enable the development of robust AI-based healthcare solutions. Therefore, there has been an increased interest in technical solutions that can overcome such data-sharing limitations while simultaneously maintaining data security and the privacy of patients.

We will open this ICAI Deep-Dive event with an introduction to two specific data-related challenges in the medical field. The first challenge will be introduced by Bram van Ginneken of the Radboud UMC, who will discuss FAIR (Findability; Accessibility; Interoperability; and Reusability) requirements for data sharing in practice. Thereafter, Gennady Roshchupkin of the Erasmus UMC will conclude part I of the event by discussing the challenges of using Federated Learning in genomics research.

The second part of the ICAI Deep-Dive event will be a panel discussion that centralizes the question “How do we tackle challenges in medical data usage by collaborating together?”. During the panel discussion, Nancy will moderate the discussion among Bram van Ginneken, Clarisa Sánchez, Gennady Roshchupkin, Johan van Soest, and is also open to everyone who is interested in the challenges mentioned in the previous two talks.

After the panel discussion, it is time for networking while enjoying some drinks.