Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Accuracy of a ChatGPT in Diagnosing Urologic Conditions From Cross-sectional Imaging
0
Zitationen
11
Autoren
2024
Jahr
Abstract
ChatGPT's effectiveness in medical imaging diagnostics is initially limited, yet it substantially benefits from the addition of user guidance. The study underscores AI's current shortcomings but also its considerable capacity to improve clinical operations when enriched with more data and expert direction.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.357 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.221 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.640 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 · 5.482 Zit.