Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Comparative analysis of frequently asked patient questions and answer quality for antidepressants generated by ChatGPT and Google Gemini
0
Zitationen
9
Autoren
2026
Jahr
Abstract
Introduction/Objectives: With the increasing accessibility of artificial intelligence (AI) platforms, patients are able to refer to them when considering their medical decisions. Given this, it is critical that the information presented to them is appropriate and verified, particularly if they are frequently asked questions (FAQs). This study aims to assess the FAQs and quality of resources presented by ChatGPT and Google Gemini for antidepressants.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.578 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.470 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.984 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.814 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.