Artificial Intelligence (AI) for the Detection of Gastrointestinal Parasites Cases in Parasitology
This presentation will explore the role of AI in select cases of parasitology along with future applications of AI moving forward.
Originally published on April 3, 2025
Lecture Presenter
![]() | Blaine A. Mathison, B.S. M(ASCP) Scientist III, Institute for Clinical and Experimental Pathology |
Blaine Mathison is currently a research scientist with the Institute of Clinical and Experimental Pathology at ARUP Laboratories in Salt Lake City and adjunct instructor for the Department of Pathology at the University of Utah. Mr. Mathison has been doing diagnostic parasitology for over 20 years, including assignments at the Arizona State Public Health Laboratory, the Phoenix Veterans Administration, and the Division of Parasitic Diseases and Malaria at the Centers for Disease Control and Prevention in Atlanta. Mr. Mathison publishes and lectures regularly on a variety of topics related to both parasitology and entomology, including taxonomy, biology, diagnostics, pathology, and case reports. His specialties include unusual and zoonotic helminth infections, histopathology of parasitic infections, and arthropods of medical importance. In 2018, Mr. Mathison was the recipient of the ASM Scherago-Rubin Award, which recognizes contributions by non-doctoral-level microbiologists to the field of clinical microbiology.
Objectives
After this presentation, participants will be able to:
- Discuss 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
Sponsored by:
University of Utah School of Medicine, Department of Pathology, and ARUP Laboratories