Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence in coronary angiography: benchmarking the diagnostic accuracy of ChatGPT-4o against interventional cardiologists
0
Zitationen
5
Autoren
2025
Jahr
Abstract
GPT-4o shows potential as a supportive tool in coronary angiography interpretation. Its diagnostic performance improves significantly when contextual clinical information is included. However, its accuracy based on static images alone remains below the threshold required for reliable diagnostic and therapeutic support. The lack of cine-loop data as an essential element in real-world angiographic interpretation is a key limitation. Future developments should focus on enhancing AI capabilities for analysing complex anatomical structures and integrating dynamic imaging data to augment clinical utility.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 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 · 5.438 Zit.