Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Large language models and global health equity: a roadmap for equitable adoption in LMICs
1
Zitationen
16
Autoren
2025
Jahr
Abstract
Für dieses Paper ist kein Abstract in der Datenbank hinterlegt.
Abstract beim Verlag einsehenÄhnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.200 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 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 · 5.410 Zit.
Autoren
Institutionen
- Tsinghua University(CN)
- Peking Union Medical College Hospital(CN)
- Singapore Eye Research Institute(SG)
- Singapore National Eye Center(SG)
- National University of Singapore(SG)
- Mills Peninsula Health Services(US)
- Vanke (China)(CN)
- Korle Bu Teaching Hospital(GH)
- University of Ghana(GH)
- King Fahd University of Petroleum and Minerals(SA)
- VinUniversity(VN)
- Moorfields Eye Hospital(GB)
- Moorfields Eye Hospital NHS Foundation Trust(GB)
- University College London(GB)
- Shanghai Jiao Tong University(CN)
- Beijing Tsinghua Chang Gung Hospital(CN)
- Duke-NUS Medical School(SG)