Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Large Language Models and Their Implications on Medical Education
26
Zitationen
2
Autoren
2023
Jahr
Abstract
1Fourth-year medical student, Stanford University School of Medicine, Stanford, California; email: [email protected]; ORCID: https://orcid.org/0000-0002-3422-0373. 2Adjunct professor, Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, California. Acknowledgements: The authors wish to thank Charles Prober, MD (Stanford University School of Medicine) for his assistance in reviewing the manuscript. Funding/Support: None reported. Other disclosures: None reported. Ethical approval: Reported as not applicable. First published online.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.393 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.259 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.688 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.502 Zit.