Using Imaging in Clinical Trials to Improve Data and Decisions

Imaging is one of the most complex yet underestimated components of modern clinical trials. While imaging endpoints provide critical insights for regulatory approval and patient outcomes, many Clinical Operations leaders experience blind spots in planning, execution and vendor management. Without the right strategy, these gaps can cause delays, budget overruns and compromised data quality.

This webinar will provide a practical framework for navigating the nuances of implementing an imaging strategy in clinical trials. Drawing from real-world experience, the discussion will highlight common pitfalls, from protocol design through site management and data submission, and explore strategies to anticipate challenges before they arise.

The featured speakers will also discuss the evolving role of emerging technologies, such as artificial intelligence (AI) and large language models (LLMs), in imaging workflows, as they help teams streamline data handling and enhance trial efficiency.

The session will also include a unique real-world use case, offering an inside look at how imaging challenges were successfully addressed in practice and what lessons Clinical Operations leaders can take forward. By the end of the webinar, participants will be better equipped to identify blind spots in their imaging strategies, apply practical solutions and strengthen collaboration with imaging service providers.

Register for this webinar to gain actionable insights into building and strategizing imaging in clinical trials to minimize risk, reduce delays and set the stage for smarter trials.

Keywords: AI, AI Medical Imaging, Clinical Data, Clinical Operations, Clinical Research, Clinical Trial Design, Clinical Trial Imaging, Clinical Trials, CRO, Data Management, Drug Development, Imaging, Machine Learning, Sites