ArticleAmerican journal of clinical pathology2025
Impact of the Genius Digital Diagnostics System on workflow and accuracy compared with the ThinPrep Imaging System for review of ThinPrep Papanicolaou tests.
Article in American journal of clinical pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Enhancing efficiency and improving turnaround time: real-world impact of the Genius Digital Diagnostics System implementation.American journal of clinical pathology · 2026Article
- Assessing the influence of two deep-learning assistance modes on pathologists in cancer identification.Diagnostic pathology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectiveIn this study, we compared the workflow of the Genius Digital Diagnostics System (Hologic, Inc) with our current workflow based on the ThinPrep Imaging System (Hologic, Inc) to assess potential efficiencies associated with digitalization of Papanicolaou screening.
methodsEach step of the current workflow (glass slide movement and slide review) and the experimental workflow were documented. Substantial workflow efficiencies were associated with the reduction of glass slide movement observed with the experimental workflow of the Genius system compared with the ThinPrep system.
resultsThe ThinPrep-based workflow required more than 5 hours of hands-on time at specific synchronized times throughout the day, whereas the hands-on time of the experimental Genius Digital Diagnostics System was just over an hour and allowed glass movement at flexible times. In addition to these workflow efficiencies, the Genius Digital Diagnostics System resulted in much shorter review times (70.1 seconds) than the ThinPrep Imaging system (138.0 seconds) while maintaining similar agreement to the sign-out diagnosis.
conclusionsThis study demonstrated that implementing a Genius Dx-based workflow may result in substantial efficiency gains, which can mitigate workforce shortages and improve turnaround time without compromising screening accuracy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.