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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69857, first published .
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Performance of Open-Source Large Language Models in Psychiatry: Usability Study Through Comparative Analysis of Non-English Records and English Translations

Performance of Open-Source Large Language Models in Psychiatry: Usability Study Through Comparative Analysis of Non-English Records and English Translations

Journals

  1. Sugihara Y, Milosavljevic A, Jankovskaja S, Falk M. A review for navigating the trade-offs: evaluating open-source and proprietary large language models for clinical and biomedical information extraction. Frontiers in Digital Health 2026;8 View
  2. Kang R, Hwang S, Shin J, Yoo Y. Cross-border interactions of cryptocurrency prices and news sentiment: prices as the primary driver. The European Journal of Finance 2026;32(8):1006 View
  3. Choi S, Kim D, Jeon J, Kim M, Lee D, Ahn D, Lee E, Kim Y, Youk H. Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering. JMIR Formative Research 2026;10:e72604 View
  4. Hato E, Peker K. PEDODONTİ SORULARININ YANITLANMASINDA YAPAY ZEKÂ PERFORMANSINA DİLİN ETKİSİ: CHATGPT-4.0 VE DEEPSEEK-R1 İLE TÜRKÇE VE İNGİLİZCE KARŞILAŞTIRMASI. Kırıkkale Üniversitesi Tıp Fakültesi Dergisi 2026;28(1):49 View