

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