ArticleMolecular cytogenetics2025
Assessing the reliability of ChatGPT in cytogenetic reporting and interpretation: implications for clinical use.
Article in Molecular cytogenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Cytogenetics in the genomics era: why karyotyping still matters.BMC medical genomics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study evaluates the accuracy of ChatGPT in generating chromosomal representations (formulas) based on ISCN rules in clinical cytogenetics. While ChatGPT generated correct answers for simple cases, it frequently failed in complex cases. These findings highlight the limitations of current AI tools in accurate clinical cytogenetic reporting, reinforcing the vital role of skilled clinical cytogeneticists for accurate interpretation and reporting.
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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.