Validation of artificial intelligence-based digital microscopy for automated detection of < i > Schistosoma haematobium < /i > eggs in urine in Gabon

ConclusionOverall, the performance of the Schistoscope was non-inferior to conventional microscopy with a comparable sensitivity, although the specificity varied. The Schistoscope shows promising diagnostic accuracy, particularly for samples with moderate to higher infection intensities as well as for banked sample slides, highlighting the potential for retrospective analysis in resource-limited settings. Trial registrationNCT04505046 ClinicalTrials.gov.
Source: PLoS Neglected Tropical Diseases - Category: Tropical Medicine Authors: Source Type: research