Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence Large Language Models Address Anterior Cruciate Ligament Reconstruction: Superior Clarity and Completeness by Gemini Compared With ChatGPT‐4 in Response to American Academy of Orthopaedic Surgeons Clinical Practice Guidelines
13
Zitationen
9
Autoren
2024
Jahr
Abstract
The current study addresses a current gap in the LLM and ACLR literature by comparing the performance of ChatGPT-4 to Gemini, which is growing in popularity with more than 300 million individual uses in May 2024 alone. Moreover, the results demonstrated superior performance of Gemini in both clarity and completeness, which are critical elements of a tool being used by patients for educational purposes. Additionally, the current study uses question prompts based on the AAOS CPG, which may be used as a method of standardization for future investigations on performance of LLM platforms. Thus, the results of this study may be of interest to both the readership of Arthroscopy and patients.
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.