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New devices and techniques
Correspondence on ‘Evaluation of ChatGPT in knowledge of newly evolving neurosurgery: middle meningeal artery embolization for subdural hematoma management’ by Koester et al
  1. Yasin Celal Gunes1,
  2. Eren Camur2,
  3. Turay Cesur3
    1. 1Ministry of Health Kirikkale Yuksek Ihtisas Hospital, Kırıkkale, Turkey
    2. 2Ministry of Health Ankara 29 Mayis State Hospital, Ankara, Turkey
    3. 3Ministry of Health Mamak State Hospital, Ankara, Turkey
    1. Correspondence to Dr Yasin Celal Gunes, Department of Radiology, Ministry of Health Kirikkale Yuksek Ihtisas Hospital, Kırıkkale, Merkez, Turkey; gunesyasincelal{at}gmail.com

    https://doi.org/10.1136/jnis-2024-021987

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      We read with great interest the article by Koester et al, which reviewed the capabilities of ChatGPT in middle meningeal artery (MMA) embolization.1 This article provides detailed information and an insightful approach regarding the assessment of ChatGPT’s knowledge in MMA embolization. Recently, there has been an increase in studies examining the clinical knowledge of large language models (LLMs).2 Therefore, we would like to offer different perspectives on the capabilities of LLMs regarding the MMA embolization procedure.

      MMA embolization was introduced in 2000 by Mandai et al as a novel interventional treatment for patients with chronic …

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      Footnotes

      • Contributors YCG: writing-original draft and editing. EC: writing-review and editing. TC: writing-review and editing. Our letter is about large language models. Therefore, we used nine LLMs to understand capabilities in terms of the MMA embolization procedure. We asked MCQs to LLMs.

      • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

      • Competing interests None declared.

      • Provenance and peer review Not commissioned; internally peer reviewed.

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