ArticleClinical kidney journal2024
The potential of ChatGPT in medicine: an example analysis of nephrology specialty exams in Poland.
Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Randomized Controlled Trial of Large Language Model-Assisted Diagnostic Accuracy in Nephrology.Kidney international reports · 2026Article
- Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers.British journal of clinical pharmacology · 2026Article
- A pilot study on the impact of large language model assistance on the evaluation of complex medical living kidney donor candidates.Clinical transplantation and research · 2026Article
- Language-Specific Differences in Large Language Model Diagnostic Reasoning: A Translation-Controlled Clinical Vignette Study.Journal of clinical medicine · 2026Article
- Assessment of vaccine information accuracy across large language models.Frontiers in public health · 2026Article
- Applications, Challenges, and Prospects of Generative Artificial Intelligence Empowering Medical Education: Scoping Review.JMIR medical education · 2025Article
- Article
- Large Language Models' Clinical Decision-Making on When to Perform a Kidney Biopsy: Comparative Study.Journal of medical Internet research · 2025Article
- Extracting Clinical Guideline Information Using Two Large Language Models: Evaluation Study.Journal of medical Internet research · 2025Article
- Evaluating Large Language Models for Preoperative Patient Education in Superior Capsular Reconstruction: Comparative Study of Claude, GPT, and Gemini.JMIR perioperative medicine · 2025Article
- GPT-4's performance in supporting physician decision-making in nephrology multiple-choice questions.Scientific reports · 2025Article
- Performance of o1 pro and GPT-4 in Self-Assessment Questions for Nephrology Board Renewal.Frontiers in medicine · 2025Article
- Assessment Study of ChatGPT-3.5's Performance on the Final Polish Medical Examination: Accuracy in Answering 980 Questions.Healthcare (Basel, Switzerland) · 2024Article
- Performance of ChatGPT-4 on the Nepalese Undergraduate Medical Licensing Examination: A Cross-Sectional Study.Journal of medical education and curricular developmentArticle
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: In November 2022, OpenAI released a chatbot named ChatGPT, a product capable of processing natural language to create human-like conversational dialogue. It has generated a lot of interest, including from the scientific community and the medical science community. Recent publications have shown that ChatGPT can correctly answer questions from medical exams such as the United States Medical Licensing Examination and other specialty exams. To date, there have been no studies in which ChatGPT has been tested on specialty questions in the field of nephrology anywhere in the world. Methods: Using the ChatGPT-3.5 and -4.0 algorithms in this comparative cross-sectional study, we analysed 1560 single-answer questions from the national specialty exam in nephrology from 2017 to 2023 that were available in the Polish Medical Examination Center's question database along with answer keys. Results: Of the 1556 questions posed to ChatGPT-4.0, correct answers were obtained with an accuracy of 69.84%, compared with ChatGPT-3.5 (45.70%, Conclusion: ChatGPT-3.5 was not spectacularly successful in nephrology exams. The ChatGPT-4.0 algorithm was able to pass most of the analysed nephrology specialty exams. New generations of ChatGPT achieve similar results to humans. The best results of humans are better than those of ChatGPT-4.0.
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