Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence as a Potential Tool for Predicting Surgical Margin Status in Early Breast Cancer Using Mammographic Specimen Images
2
Zitationen
6
Autoren
2025
Jahr
Abstract
: ChatGPT demonstrated moderate accuracy in confirming complete excision but showed limited reliability in identifying incomplete margins. While promising, these findings emphasize the need for domain-specific training and further validation before such models can be implemented in clinical breast cancer workflows.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.611 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.504 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.025 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.835 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.