학술논문
Predicting outcomes in lung transplantation: From tea leaves to ChatGPT.
Document Type
Editorial & Opinion
Author
Rozenberg D; Division of Respirology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto Lung Transplant Program, Ajmera Transplant Center, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.; Singer LG; Division of Respirology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto Lung Transplant Program, Ajmera Transplant Center, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada. Electronic address: Lianne.Singer@uhn.ca.
Source
Publisher: Elsevier Country of Publication: United States NLM ID: 9102703 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-3117 (Electronic) Linking ISSN: 10532498 NLM ISO Abbreviation: J Heart Lung Transplant Subsets: MEDLINE
Subject
Language
English
Abstract
Competing Interests: Disclosure statement No conflicts of interest to declare. Dmitry Rozenberg receives research support from the Sandra Faire and Ivan Fecan Professorship in Rehabilitation Medicine.