Techcyte Proves the Value of Digital Diagnostics
In the May issue of the Journal of Clinical Microbiology, Vol. 58, Issue #6, described a validation of Techcyte’s process for detecting protozoa in trichrome-stained fecal smears. The study describes using Techcyte’s AI-based digital diagnostic tools to review and screenout parasite-free smears, which would allow parasitologists to focus on confirming and characterizing protozoa that are detected—saving valuable time and effort.
This is not a pilot study, but a full validation of Techcyte’s solution, which includes accuracy, precision, and limit of detection analysis.
In the same issue, Daniel Rhoads, MD., Department of Pathology, Case Western Reserve University, wrote an editorial opinion on the study, which includes additional insights.
“Computer vision represents the next frontier in laboratory diagnostics. Computer vision in the year 2020 is analogous to PCR in the year 2000. AI in general and computer vision in specific are emerging diagnostic tools for clinical microbiology.”