Bringing AI into the Clinical Lab
Speaker:
David Ng, MD, Assistant Professor and Director of Applied Artificial Intelligence and Bioinformatics, University of Utah, ARUP Laboratories
Contact Hours:
1.0
Date:
February 01, 2025 - February 28, 2027
Description:
This talk covers high level considerations in implementing a machine learning pipeline in the clinical lab from early development and annotation, through validation, and into clinical implementation. Case studies are presented to better understand the implication of early design decisions and advantages of full scale laboratory integration.
Learning Objectives:
- Understand the implications of weak vs. strong supervision in downstream implementation of AI.
- Identify needs in system integration of AI tools in the clinical lab.