Using AI and Digital Slide Scanning To Detect Intestinal Protozoa

Overview

This microlearning introduces how artificial intelligence (AI) and digital slide scanning can support detection of intestinal protozoa in trichrome-stained stool specimens. Learners will explore why traditional microscopy is challenging, how AI-assisted review works, what workflow changes are required, and how validation data can support implementation decisions.

Learning objectives

  • Discuss workflow modifications that may be needed when implementing digital scanning and AI-assisted interpretation.
  • Describe challenges to traditional microscopy for detection of protozoa in stool specimens.
  • List potential uses of AI in parasite detection.

Intended audience

Clinical laboratory technologists, clinical microbiology staff, laboratory supervisors, pathology trainees, and laboratory leaders evaluating digital pathology or AI-assisted microscopy.

MCL Education

This post was developed by our Education and Technical Publications Team.