Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Assessing the reliability of ChatGPT in cytogenetic reporting and interpretation: implications for clinical use
1
Zitationen
3
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.316 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.177 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.575 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.468 Zit.