Learn the unique challenges of working with medical data, including the high skill needed for labeling and managing PHI and privacy concerns.

Explore ways to acquire medical data including open-source and in-house datasets, or licensing and partnerships.

Understand ways to clean, classify and segment medical data, and when to employ different labeling methods.

Review data labeling vendor models including in-house experts, hybrid teams and crowdsourced options.

Learn how to evaluate the accuracy of medical data labels, and understand where traditional methods fall short.

Discover how AI teams across the healthcare ecosystem are leveraging human experts at scale to build powerful models.