AI FECAL
Fast, reliable data
Delivering expert-level1,2 data to help inform diagnosis and treatment selection
The algorithm and fecal sample preparation techniques on the Vetscan Imagyst® AI Fecal application were vigorously tested in multiple studies.1-4
Algorithm Performance
The algorithm performance of AI Fecal closely matched that of diagnostic parasitology experts.1,2
| HOOKWORMS* (Ancylostoma spp) |
ROUNDWORMS* (Toxocara spp) |
WHIPWORMS† (Trichuris vulpis) |
TAPEWORMS* (Taeniidae) |
COCCIDIA* (Cystoisospora spp) |
GIARDIA* | |
|---|---|---|---|---|---|---|
| Sensitivity (95% CI) |
90.7% (86.4-94%) |
95.5% (91.7-97.8%) |
93.1% (87.8-96.5%) |
100% (78.3-100%) |
94.9% (90.6-97.6%) |
92.1% (83.5-96.9%) |
| Specificity (95% CI) |
97.5% (95.8-98.6%) |
98.3% (96.9-99.2%) |
99.7% (98.7-100%) |
97.8% (93.1-99.5%) |
96% (94.1-97.4%) |
98.8% (94.6-99.9%) |
95% Jeffreys confidence interval
Bringing specialist-level medicine to your clinic
The Zoetis Virtual Laboratory offers deeper insights through its unique portfolio of interconnected diagnostic products and services. Central to the Virtual Laboratory offering, Vetscan Imagyst connects innovative, in-clinic AI diagnostic testing with real human pathology expertise, empowering confident treatment decisions and elevating patient care.
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* Dog and cat samples combined.
† Dog samples only. Trichuris ova not seen in feline samples.
‡ Dependent on consultant availability.
§ If you are a pet owner looking for treatment recommendations, please contact your veterinarian.
References: 1. Nagamori Y, Scimeca R, Hall-Sedlak R, et al. Multicenter evaluation of the Vetscan Imagyst system using Ocus 40 and EasyScan One scanners to detect gastrointestinal parasites in feces of dogs and cats. Journal of Veterinary Diagnostic Investigation. 2023;0(0). doi:10.1177/10406387231216185 2. Data on file, Study No. D860R-US-19-078, Zoetis Inc. 3. Nagamori Y, Sedlak RH, DeRosa A, et al. Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm. Parasites Vectors 14, 89 (2021). 13(1):346. doi:10.1186/ s13071-020-04215-x. 4. Nagamori Y, Hall Sedlak R, DeRosa A, et al. Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm. Parasites Vectors 13, 346 (2020).