Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Evaluating the Accuracy of Gemini 2.0 Advanced and ChatGPT 4o in Cataract Knowledge: A Performance Analysis Using Brazilian Council of Ophthalmology Board Exam Questions
3
Zitationen
2
Autoren
2025
Jahr
Abstract
Both models demonstrated high accuracy in cataract-related board exam questions, supporting their potential as educational tools. However, moderate agreement and performance variability indicate the need for further refinement and validation.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.292 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.143 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.539 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 · 5.452 Zit.