Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54571, first published .
Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4

Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4

Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4

Journals

  1. Zhao B, Liu H, Liu Q, Qi W, Zhang W, Du J, Jin Y, Weng X. Breaking Boundaries in Spinal Surgery: GPT-4's Quest to Revolutionize Surgical Site Infection Management. The Journal of Infectious Diseases 2024 View
  2. Brin D, Sorin V, Konen E, Nadkarni G, Glicksberg B, Klang E. How GPT models perform on the United States medical licensing examination: a systematic review. Discover Applied Sciences 2024;6(10) View
  3. Le K, Chen J, Mai D, Le K. An Evaluation on the Potential of Large Language Models for Use in Trauma Triage. Emergency Care and Medicine 2024;1(4):350 View
  4. Azeroual O. Can generative AI transform data quality? a critical discussion of ChatGPT’s capabilities. Academia Engineering 2024;1(4) View