Out of 7492 liver transplantation performed in 17 international centers from 3 continents, we identified 2024 low risk adult cases with a laboratory model for end-stage liver disease score ≤20 points, a balance of risk score ≤9, and receiving a primary graft by donation after brain death. Consequently, outcome comparisons within or across centers over time remain speculative. To propose benchmark outcome values in liver transplantation, serving as reference for assessing individual patients or any other patient groups.īest achievable results in liver transplantation, that is, benchmarks, are unknown. Those values, mostly targeting markers of morbidity, were gathered from 2024 "low risk" cases, and may serve as reference to assess outcome of single or any groups of patients. : This multicentric study of 17 high-volume centers presents 12 benchmark values for liver transplantation. 19 Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.18 Department of Surgery, Western University, London, ON, Canada.17 Division of Transplantation, University of Rochester Medical Center, New York, NY.16 Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.15 Department of Abdominal and Transplant Surgery, University Hospital St.14 Department of Surgery and Transplantation, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.13 Division of HBP Surgery, Department of Surgery, Liver Transplant Unit, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.12 Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD.11 Abdominal Transplant Surgery, KU Leuven, University Hospitals Leuven, Leuven, Belgium.10 Department of Surgery, The Hepatobilairy Center, Paul Brousse Hospital, University Paris Sud, Villejuif, France.9 Division of Transplantation Surgery, CLINTEC Karolinska Institute, Karolinska University Hospital Huddinge, Stockholm, Sweden.8 Department of Hepatobiliary Surgery and Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.7 Division of Transplantation, University of Pennsylvania, Philadelphia, PA.6 Division of General Surgery and Section of Abdominal Transplantation, Washington University School of Medicine, St.5 Department of HBP Surgery and Transplantation, University Hospital Rennes, Rennes, France. ![]() 4 Department of Surgery and Transplantation, Hôpital Beaujon, Clichy, France.3 Department of Surgery, Abdominal Transplant and HPB Surgical Oncology, Toronto General Hospital, University of Toronto, Toronto, ON, Canada.2 Department of HBP Surgery and Transplantation, Queen Elizabeth Hospital and Birmingham Children's Hospital, Birmingham, UK.1 Department of Surgery and Transplantation, Swiss HPB Center Zurich, University Hospital Zurich, Zurich, Switzerland.Leading energy and tech groups call for International Centre for AI, Energy and Climate. ![]() Energy and policy considerations for deep learning in NLP. Consequences of future data center deployment in Canada on electricity generation and environmental impacts: A 2015–2030 prospective study. How to design AI for social good: seven essential factors. Inter-American Development Bank fAIrLAC Observatory (IADB, 2020) įloridi, L., Cowls, J., King, T. 57th Annual Meeting of the Association for Computational Linguistics 3645–3650 (ACL, 2019). Europe’s AI start-ups often do not use AI, study finds. United Nations Development Program (UNDP) Sustainable Development Goals. on Fairness, Accountability, and Transparency (ACM, 2019) Using Watson for enhancing human-computer co-creativity. IBM pitched its Watson supercomputer as a revolution in cancer care. In IEEE Spectrum: Technology, Engineering, and Science News (IEEE, 2019). How IBM Watson overpromised and underdelivered on AI health care. International Telecommunication Union (ITU) AI Repository ĪI for Good Global Summit (28−, Geneva, Switzerland) (AI for Good, 2019) Notes From The AI frontier: Insights From Hundreds Of Use Cases. The role of artificial intelligence in achieving the Sustainable Development Goals. A unified framework of five principles for AI in society. ![]() Is bigger better? The emergence of big data as a tool for international development policy. Big data for development: a review of promises and challenges. Artificial intelligence in COVID-19 drug repurposing. Zhou, Y., Wang, F., Tang, J., Nussinov, R. ![]() Tackling climate change with machine learning. The potential for artificial intelligence in healthcare. Deep learning for identifying metastatic breast cancer. Wang, D., Khosla, A., Gargeya, R., Irshad, H.
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