Session 3: Dealing with data: challenges, solutions, and the role of synthetic data

COURSE INFORMATION

This series is designed for all those interested in radiology research, with a particular focus on young radiologists eager to engage in scientific discovery. Whether exploring statistical best practices, navigating a research career, working with synthetic data, or ensuring research integrity, these sessions provide valuable insights and practical skills. Through expert-led discussions and real-world applications, participants will gain the knowledge needed to contribute meaningfully to the future of radiology research.

In research, data is both a valuable resource and a major challenge. Whether dealing with small data sets, data privacy restrictions, or the integration of multiple sources, researchers must navigate various obstacles to ensure accuracy and reliability. This session will explore strategies for handling data limitations, including the potential of synthetic data, data augmentation techniques, and whether foundation models can address small dataset issues.

LEARNING OBJECTIVES

•To explore challenges in working with small datasets and potential solutions.
•To define synthetic data and understand its applications in research.
•To assess the benefits and pitfalls of synthetic data and data augmentation.
•To discuss how foundation models influence research data limitations.

PROGRAMME ONLINE

Tuesday, December 9, 2025