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

AI Language Models in Health Care (160) Generative Language Models Including ChatGPT (621) Artificial Intelligence (1983) Natural Language Processing (866) Development and Evaluation of Research Methods, Instruments and Tools (696)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59258, first published .
Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study

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

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

Authors of this article:

Seyma Handan Akyon1 Author Orcid Image ;   Fatih Cagatay Akyon2, 3 Author Orcid Image ;   Ahmet Sefa Camyar4 Author Orcid Image ;   Fatih Hızlı5 Author Orcid Image ;   Talha Sari2, 6 Author Orcid Image ;   Şamil Hızlı7 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics Author Video

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  3. Gumilar K, Wardhana M, Akbar M, Putra A, Banjarnahor D, Mulyana R, Fatati I, Yu Z, Hsu Y, Dachlan E, Lu C, Liao L, Tan M. Artificial intelligence-large language models (AI-LLMs) for reliable and accurate cardiotocography (CTG) interpretation in obstetric practice. Computational and Structural Biotechnology Journal 2025;27:1140 View
  4. Du K, Li A, Zuo Q, Zhang C, Guo R, Chen P, Du W, Li S. Comparing Artificial Intelligence–Generated and Clinician-Created Personalized Self-Management Guidance for Patients With Knee Osteoarthritis: Blinded Observational Study. Journal of Medical Internet Research 2025;27:e67830 View
  5. Li J, Chang C, Li Y, Cui S, Yuan F, Li Z, Wang X, Li K, Feng Y, Wang Z, Wei Z, Jian F. Large Language Models’ Responses to Spinal Cord Injury: A Comparative Study of Performance. Journal of Medical Systems 2025;49(1) View

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