Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploring the potential of ChatGPT in generating unknown clinical questions about liver transplantation: A feasibility study
10
Zitationen
4
Autoren
2023
Jahr
Abstract
1Department of Surgery, Division of Abdominal Transplant, Stanford University Medical Center, Stanford, California, USA 2Department of Transplant Surgery, Mita Hospital, International University of Health and Welfare, Tokyo, Japan Abbreviations: AI, artificial intelligence; HBOT, hyperbaric oxygen therapy; LT, liver transplantation. The paper is not based on previous communication with a society or meeting. Correspondence Kazunari Sasaki, Department of General Surgery, Division of Abdominal Transplant, Stanford University School of Medicine, Stanford, CA 94305, USA. Email: [email protected]
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.287 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.140 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.534 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 · 5.450 Zit.