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Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study.

Şeyma Handan AkyönFatih Cagatay AkyonAhmet Sefa CamyarFatih HızlıTalha SariŞamil Hizli
Published in: JMIR medical informatics (2024)
This study is the first to evaluate the performance of different LLMs in understanding medical papers using the retrieval augmented generation method. The findings highlight the potential of LLMs to enhance medical research by improving efficiency and facilitating evidence-based decision-making. Further research is needed to address limitations such as the influence of question formats, potential biases, and the rapid evolution of LLM models.
Keyphrases
  • healthcare
  • decision making
  • artificial intelligence
  • quantum dots