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

Generative Language Models Including ChatGPT (1556) Clinical Information and Decision Making (3774) Machine Learning (3236) Artificial Intelligence (4854) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (162) Nephrology/Renal Disorders (143)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73603, first published .
Doctor in white coat typing on laptop with stethoscope

Large Language Models’ Clinical Decision-Making on When to Perform a Kidney Biopsy: Comparative Study

Large Language Models’ Clinical Decision-Making on When to Perform a Kidney Biopsy: Comparative Study

Authors of this article:

Michael Toal1 Author Orcid Image ;   Christopher Hill2 Author Orcid Image ;   Michael Quinn1 Author Orcid Image ;   Ciaran O'Neill1 Author Orcid Image ;   Alexander P Maxwell1 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Başaranoğlu M, Akbay E, Erdem E. From digital assistants to clinical partners: revolutionizing pediatric urology through large language model-powered decision support and patient education. World Journal of Urology 2025;43(1) View
  2. Déniz C, Marcè J, Macia I, Rivas F, Muñoz A, Paradela M, García S, Moreno C, Serratosa I, García M, Rodríguez-Martos T, Ojanguren A. Artificial intelligence in thoracic surgery consultations: evaluating the concordance between a large language model and expert clinical decisions. Frontiers in Digital Health 2025;7 View
  3. Tunçekin A, Aktaş Y. Performance of large language models in urological decision support: a guideline-based comparative evaluation in urolithiasis. Urolithiasis 2026;54(1) View
  4. Zhang J, Lu J, Jiang L, Zhang J, Zhou Q, Chen S, Li D, Hu F, Chen B, Lv Y, Su Z, Zheng Y, Chen C, Pan M. Large language models decode narrative pathology reports to define clinically relevant subtypes in IgA nephropathy. Nature Communications 2026;17(1) View
  5. Gandhi S, Balas M. Social Status and Clinical Resource Allocation by a Large Language Model: An Evaluation of 30,618 Decisions. Journal of Personalized Medicine 2026;16(9):448 View