Application of large language models in medical diagnosis: A bibliometric review - Takeaways - MDSpire

Application of large language models in medical diagnosis: A bibliometric review

  • By

  • Quan Zhang

  • Haokun Wang

  • Hongjuan Li

  • Fengbo Jiao

  • Hongchen Zhou

  • Meiyu Li

  • June 17, 2026

  • 0 min

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  • 1

    Large language models (LLMs) are being explored as decision-support tools in medical diagnosis, enhancing clinical workflows and knowledge synthesis.

  • 2

    The integration of LLMs into clinical practice has gained traction, with over 70% of psychiatrists using ChatGPT for diagnostic deliberation.

  • 3

    Recent studies indicate that LLMs can achieve diagnostic performance comparable to board-certified physicians in specific evaluation settings.

  • 4

    A bibliometric analysis is necessary to map the intellectual landscape and research trajectory of LLMs in diagnostic medicine.

  • 5

    Despite advancements, the use of LLMs in clinical settings raises ethical and practical concerns regarding data privacy and model reliability.

Original Source(s)

Application of large language models in medical diagnosis: A bibliometric review

  • by Quan Zhang, Haokun Wang, Hongjuan Li, Fengbo Jiao, Hongchen Zhou, Meiyu Li

  • June 17, 2026

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