Development and Validation of a Computer Vision-Based Artificial Intelligence System (FenoParasite) for the Microscopic Detection of Ascaris lumbricoides and Giardia lamblia in Stool Samples
Miguel Hueda-Zavaleta, Exequiel Federico Espeche, Francisco Zea Gamboa, Mady Canelu Ramos Rojas, Enrique Lanchipa Valencia, Juan Carlos Gómez de la Torre Pretell · 2026
Read Development and Validation of a Computer Vision-Based Artificial Intelligence System (FenoParasite) for the Microscopic Detection of Ascaris lumbricoides and Giardia lamblia in Stool Samples by Miguel Hueda-Zavaleta, Exequiel Federico Espeche, Francisco Zea Gamboa, Mady Canelu Ramos Rojas, Enrique Lanchipa Valencia, Juan Carlos Gómez de la Torre Pretell (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13611047.txt.
Description
Miguel Hueda-Zavaleta and five co-authors report a 2026 study building an AI system that spots gut parasites in stool samples under a microscope. Two parasites, a worm and a single-celled species, sicken many people where labs lack expert staff. Their system, FenoParasite, was trained to find the worm's eggs and both life stages of the other parasite.
Expert readers set the truth standard, with a third reader breaking ties. The system scored near-perfect marks on its main test, with a mean precision score of 98.3 percent. In an internal test set it caught every case of both parasites. A small live pilot also gave perfect catch and clear rates. The authors present the tool as a way to make parasite diagnosis steady and available far from expert centers.
Catalog record
| CREATOR | Miguel Hueda-Zavaleta, Exequiel Federico Espeche, Francisco Zea Gamboa, Mady Canelu Ramos Rojas, Enrique Lanchipa Valencia, Juan Carlos Gómez de la Torre Pretell |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |