Reference Ranges, AI and Statistical Literacy
Speaker:
Michael Astion, MD, PhD, Geoffrey Baird MD, PhD, Brody H. Foy, Dphil
Contact Hours:
1.0
Date:
February 07, 2025 - February 28, 2026
Description:
Dr. Mike Astion and Dr. Geoff Baird interview Dr. Brody Foy, a mathematician and computer scientist who researches practical improvements in interpreting clinical lab data. Dr. Foy discusses the practical use of personal reference ranges, the potential overemphasis on omics vs common testing, AI in lab medicine, AI safety and the problem of statistical illiteracy in test interpretation. This episode provides valuable insights into the intersection of reference ranges, AI, and statistics in lab medicine.
Learning Objectives:
- Differentiate between personal reference ranges and traditional population-based reference ranges in the context of lab values, such as CBC.
- List at least two ways AI and statistical literacy can enhance lab data analysis and decision-making in clinical practice.
- Describe three key challenges to widespread AI implementation in laboratory testing.