This paper is in the following e-collection/theme issue:

Viewpoints on and Experiences with Digital Technologies in Health (83) Machine Learning (1501) Linguistics, Comprehension, and Learning (53)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32875, first published .
Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model

Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model

Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model

Authors of this article:

Emre Sezgin1 Author Orcid Image ;   Joseph Sirrianni1 Author Orcid Image ;   Simon L Linwood2 Author Orcid Image
Article Authors Cited by (77) Tweetations (21) Metrics

Emre Sezgin   1 * , PhD ;   Joseph Sirrianni   1 * , PhD ;   Simon L Linwood   2 , MBA, MD

1 The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States

2 School of Medicine, University of California Riverside, Riverside, CA, United States

*these authors contributed equally

Corresponding Author:

  • Emre Sezgin, PhD
  • The Abigail Wexner Research Institute
  • Nationwide Children's Hospital
  • 700 Children's Drive
  • Columbus, OH, 43205
  • United States
  • Phone: 1 6143556814
  • Email: esezgin1@gmail.com