ArticleFrontiers in parasitology2025
Evaluation of the AiDx Assist device for automated detection of
Article in Frontiers in parasitology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of AI-assisted diagnostic tools for Schistosoma haematobium: A systematic review and meta-analysis.PLoS neglected tropical diseases · 2026Pooled it
- Diagnostic Sensitivity of the McMaster Technique for Detecting Intestinal Parasites in Human Populations: A Systematic Review and Meta-Analysis.Tropical medicine and infectious disease · 2026Review
- Validation of Digital Slide Scanning and a Convolutional Neural Network for the Detection of Intestinal Parasites in Human Stool Samples.Diagnostics (Basel, Switzerland) · 2025Article
- Commentary: Evaluation of the AiDx Assist device for automated detection ofFrontiers in parasitology · 2025Article
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Authors and funding
15 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: Schistosomiasis is a public health concern and there is a need for reliable field-compatible diagnostic methods in endemic settings. The AiDx Assist, an artificial intelligence (AI)-based automated microscope, has shown promising results for the detection of Methods: In this study, we evaluated the performance of the AiDx Assist for the detection of Results: Only samples with complete test results were included in the final analysis, resulting in 375 stool and 398 urine samples, of which 38.4% and 65.3% showed Discussion: The AiDx Assist met the World Health Organization Target Product Profile criteria in terms of diagnostic accuracy for the detection of
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