- A Utah artificial intelligence company and ARUP Labs developed an AI tool for detecting parasites.
- The AI tool, using a convolutional neural network, surpasses traditional microscopy methods.
- Researchers trained the AI with over 4,000 samples, improving diagnostic accuracy significantly.
SALT LAKE CITY — A Utah-based artificial intelligence company and scientists at ARUP Laboratories on Tuesday announced the development of an AI tool that detects intestinal parasites in stool samples quickly and more accurately than traditional methods.
The technology has the potential to transform how labs diagnose parasitic infections across the world.
Before this breakthrough, detecting gastrointestinal parasites meant using traditional microscopy, a labor-intensive process that required highly trained experts to manually scour each sample for telltale cysts, eggs or larvae…