Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Comparing ChatGPT and Google Bard: Assessing AI-Powered Information Retrieval in Nursing
8
Zitationen
5
Autoren
2024
Jahr
Abstract
Abstract Introduction In healthcare, rapid access to accurate information is essential, especially for nurses who make critical decisions. Artificial intelligence (AI) offers promise in this context, with ChatGPT and Google Bard being notable AI-driven information retrieval tools. Methods This study evaluated ChatGPT and Google Bard's performance by assessing their responses to 50 diverse medical knowledge questions, covering infection control, vital signs, CPR, and more, and comparing their response to the correct answers. Results ChatGPT achieved a 64% accuracy rate, while Google Bard achieved 56%. Both models agreed on key medical concepts, but disagreements emerged in some areas, highlighting disparities in their responses. Nurses' expertise in patient-centered care, clinical judgment, and communication complements AI. AI aids in providing evidence-based information but cannot replace nurses' human touch and critical thinking. Integrating AI into nursing education enhances learning and prepares professionals for evolving healthcare landscapes. Conclusion ChatGPT and Google Bard have strengths and weaknesses, making them valuable aids but not substitutes for nurses. Ethical considerations are vital as AI continues to shape healthcare. Nurses must ensure ethical AI use while upholding their commitment to compassionate care.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.324 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.189 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.588 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 · 5.470 Zit.