ReviewAmerican journal of clinical pathology2025
A critical analysis of CellaVision systems in the modern hematology laboratory.
Review 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 3 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
3 citing papers in PubMed.
- Toward integrated multimodal artificial intelligence in bone marrow examination: current state and open challenges.Blood research · 2026Review
- Comparative Evaluation of Five Multimodal Large Language Models for Medical Laboratory Image Recognition: Impact of Prompting Strategies on Diagnostic Accuracy.Diagnostics (Basel, Switzerland) · 2026Article
- Cytopathology 2.0: How Artificial Intelligence Is Redefining the Future of Cytopathology.Journal of cytologyReview
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
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis review aims to provide a comprehensive analysis of the current literature regarding the use of CellaVision digital morphology systems and to assess the emerging applications, their potential to supplement current diagnostic pathways, and-importantly-appreciate their practical and perceived limitations.
methodsA manual literature review was conducted to identify relevant journal articles and published abstracts as they relate to the application of CellaVision systems to hematology laboratory practice in human patients.
resultsCellaVision systems can characterize cellular morphology with overall a high degree of accuracy-in particular, for neutrophils; lymphocytes; and common red blood cell changes, including target cells. Challenges remain, however, with the detection of particular important findings, including immature granulocytes and red blood cell agglutination. The application of CellaVision systems to emerging areas such as telepathology and parasitology are evolving, with an increasing volume of literature highlighting the technology's utility.
conclusionCellaVision systems and associated digital technologies are poised to play an increasingly important role in hematology laboratories, with promises of enhanced accuracy and improved workflows. Several critical deficiencies highlight the necessity for continued research to support their transition into routine clinical practice.
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What OpenQuestion holds
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.