AI and Machine Learning for Parasite Detection
Speaker:
Marc Roger Couturier, ARUP Laboratories
Contact Hours:
1.0
Date:
April 16, 2024 - May 31, 2026
Description:
The integration of artificial intelligence (AI) is a recent tool in clinical pathology and clinical microbiology specifically into diagnostic care. AI and computer vision make the technologist’s work of detecting protozoa from stool faster, more sensitive, and more enjoyable. This presentation explores the current AI technology and provides a sneak peek at the next generation for detection of less common protozoa.
Learning Objectives:
- Summarize the theory of AI and how models are trained.
- Recognize the role of AI in stool parasite detection for trichrome stains.
- Describe the future applications of AI in parasitology.