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

Specialist Training for Doctors (101) Chatbots and Conversational Agents (1154) Artificial Intelligence (AI) in Medical Education (722) Generative Language Models Including ChatGPT (1468) Nephrology/Renal Disorders (136)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57157, first published .
Doctor examines a woman's abdomen during a medical consultation.

Navigating Nephrology's Decline Through a GPT-4 Analysis of Internal Medicine Specialties in the United States: Qualitative Study

Navigating Nephrology's Decline Through a GPT-4 Analysis of Internal Medicine Specialties in the United States: Qualitative Study

Authors of this article:

Jing Miao1 Author Orcid Image ;   Charat Thongprayoon1 Author Orcid Image ;   Oscar Garcia Valencia1 Author Orcid Image ;   Iasmina M Craici1 Author Orcid Image ;   Wisit Cheungpasitporn1 Author Orcid Image
Article Authors Cited by (3) Tweetations (15) Metrics

Journals

  1. Zoccali C, Floyd L, Cseprekal O, Eisenga M, Mirioglu S, Caravaca-Fontàn F, Mallamaci F. Artificial Intelligence-Driven Nephrology: The Role of Large Language Models in Kidney Care. American Journal of Nephrology 2025;57(4):476 View
  2. Ghimire A, Wiebe N, Hemmelgarn B, Manns B, Tonelli M. Temporal Trends in the Complexity of Nephrology Inpatients: A Population-Based Cohort Study. American Journal of Kidney Diseases 2026;88(2):250 View
  3. Miao J, Thongprayoon C, Cheungpasitporn W. The Role of Artificial Intelligence in Nephrology Education. Advances in Kidney Disease and Health 2026 View