Story perspectives

AI Tool Boosts Detection of Intestinal Parasites in Stool

10/27/2025

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Summary

Story summary

The Utah-based AI company and ARUP Laboratories announced a deep-learning tool that detects intestinal parasites in stool samples more accurately than traditional methods, as detailed in the Journal of Clinical Microbiology.
The model increases sensitivity by identifying 169 parasites missed in manual reviews.
It was trained on over 4,000 samples from various regions, expanding diagnostic options.
ARUP's chief operations officer emphasized the importance of skilled personnel in developing this technology.

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Story summary

The Utah-based AI company and ARUP Laboratories announced a deep-learning tool that detects intestinal parasites in stool samples more accurately than traditional methods, as detailed in the Journal of Clinical Microbiology.
The model increases sensitivity by identifying 169 parasites missed in manual reviews.
It was trained on over 4,000 samples from various regions, expanding diagnostic options.
ARUP's chief operations officer emphasized the importance of skilled personnel in developing this technology.