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

Viewpoints and Perspectives (514) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311) Artificial Intelligence (1371) New Methods (945) Clinical Informatics (1022)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49963, first published .
A Future of Smarter Digital Health Empowered by Generative Pretrained Transformer

A Future of Smarter Digital Health Empowered by Generative Pretrained Transformer

A Future of Smarter Digital Health Empowered by Generative Pretrained Transformer

Authors of this article:

Hongyu Miao1 Author Orcid Image ;   Chengdong Li1 Author Orcid Image ;   Jing Wang1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

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  2. Sallam M, Barakat M, Sallam M. A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review. Interactive Journal of Medical Research 2024;13:e54704 View
  3. Wyatt K, Alexander N, Hills G, Liang W, Kadauke S, Volchenboum S, Mian A, Phillips C. Making sense of artificial intelligence and large language models—including ChatGPT—in pediatric hematology/oncology. Pediatric Blood & Cancer 2024;71(9) View
  4. Yu H, Fan L, Li L, Zhou J, Ma Z, Xian L, Hua W, He S, Jin M, Zhang Y, Gandhi A, Ma X. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. Journal of Healthcare Informatics Research 2024;8(4):658 View

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