Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The collision of ChatGPT and traditional medicine: a perspective from bibliometric analysis
15
Zitationen
3
Autoren
2023
Jahr
Abstract
aDepartment of Anaesthesiology, West China Hospital of Sichuan University, Sichuan Province, Chengdu, 610041, China bDepartment of Urology, West China Hospital of Sichuan University, Sichuan Province, Chengdu, 610041, China Zhimin Tan, Qiyu He These authors have contributed equally to this work. Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. Published online ■ ■ *Corresponding author. Address: West China Hospital of Sichuan University, China. E-mail address: [email protected] (S. Feng). This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.560 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.451 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.948 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.797 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.