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

Specialist Training for Doctors (103) Chatbots and Conversational Agents (1210) Artificial Intelligence (AI) in Medical Education (829) Generative Language Models Including ChatGPT (1600) Nephrology/Renal Disorders (149)

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 (4) 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
  4. Wang Y, Sun J, Qing J, Yang S, Jiang X, Yang M, Zhang Z. Post-graduate nephrology education in China: structure, workforce gaps, regional disparities, and the emerging role of critical care nephrology. Renal Failure 2026;48(1) View