Validating, Implementing, and Monitoring AI Applications in Laboratory Medicine

AI and machine learning (ML) solutions are becoming more accessible within pathology. While many lab professionals can comfortably evaluate the performance of laboratory assays, their experience in assessing new AI/ML technologies varies. This session will help improve skills for the validation, implementation, and monitoring of AI/ML applications, with a focus on the relevant comparisons and contrasts to laboratory assays—including an example in preanalytical detection in the clinical pathology space. 

There are two options to attend the live webinar: 9 AM CT and 8 PM CT. A recording will also be made available after the event.

Objectives:

• Define key roles and responsibilities in the machine learning life cycle.
• Explore techniques for validating, deploying, and monitoring models.
• Reinforce these concepts within a relevant, lab-based example

Speaker
Nicholas C. Spies, MD, FCAP