Journal of Clinical Microbiology Publishes Article on ARUP's Validation of AI for Parasite Detection

Journal of Clinical Microbiology Publishes Article on ARUP's Validation of AI for Parasite Detection

SALT LAKE CITY, Oct. 21, 2025 /PRNewswire/ -- ARUP Laboratories today announced the publication of an article in the Journal of Clinical Microbiology describing the company's validation of a deep convolutional neural network (CNN) to detect parasites in concentrated wet…

AI Surpasses Humans in Identifying Parasites in Stool Samples, According to

Scientists at ARUP Laboratories have made a significant breakthrough in the field of clinical microbiology with the development of an artificial intelligence (AI) tool designed specifically for the detection of intestinal parasites in stool samples. This innovative AI technology promises to enhance the speed and accuracy of parasitic infection diagnoses, which could lead to improved […]

ARUP Validates AI For Parasite Detection In Microbiology

"Our validation studies have demonstrated the AI algorithm has better clinical sensitivity, improving the likelihood that a pathogenic parasite may be detected," said Blaine Mathison, BS, M(ASCP), technical director of Parasitology at ARUP and lead author of the article