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AI in Medical Imaging: Streamlining Reader Workflows for Expedited Model Development

Available on-demand
60 Minutes

As life sciences organizations implement more artificial intelligence and machine learning in their R&D processes, they rely on the services of expert readers to label and annotate their medical imaging assets for downstream analysis. But administering reader workflows—assigning images to readers, adjudicating the resulting data, and keeping this work efficient and compliant—is no simple feat, particularly at the scale necessary for machine learning.

In this session, attendees will learn about:

  • Tools to interact with the medical images through guided workflows that generate the ground truth data used to train models 
  • How to guide readers through their labeling workflow to validate that a model is working correctly, edit the output, and tune the model as it sees new & different data
  • Additional tools to assist in adjudication, data standardization, and subsequent research workflows.
  • Real world use cases of how pharma companies are streamlining their reader workflows for accelerated AI development



Costas Tsougarakis

Costas Tsougarakis has over 20 years of experience in research, development, and delivery of scientific information systems in the medical device, clinical research, and pharmaceutical domains with an emphasis on biomedical imaging. He joined Flywheel from Genentech, where he led the development of the Roche Global Imaging Platform, based on FAIR principles, which enables at-scale image data storage, ingestion, curation, and analysis.


Dan Rafter

Dr. Daniel Rafter is the Director of Product Management at Flywheel and has been with the company since July of 2020. He is responsible for curating a wide array of product features and is most intimately involved in the design of clinical research workflow features. He brings a diverse entrepreneurial and clinical background that is best highlighted by his five years directing neurotrauma research at a Level-1 Trauma Center. He is passionate about empowering researchers, like himself, to optimize their study life cycles so that their efforts can remain appropriately focused on addressing critical pathophysiologies affecting the world, and not on administrative overhead.

Register here to watch on-demand!

60 Minutes