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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65317, first published .
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Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study

Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study

Journals

  1. Chen M, Ruan S, Wu J, Chen P. Classifying American Society of Anesthesiologists Physical Status With a Low-Rank–Adapted Large Language Model: Development and Validation Study. Journal of Medical Internet Research 2026;28:e89540 View
  2. Garg M, Raza S, Rayana S, Liu X, Sohn S. The rise of small language models in healthcare: A comprehensive survey. Computer Science Review 2026;62:100999 View
  3. González Zazueta L, López Covarrubias B, Navarro Cota C, Vázquez Briseño M, Nieto Hipólito J, Romo Cárdenas G, Avilés Rodríguez G. Evaluation Frameworks for Clinical Foundation Models in Specific Tasks of Unstructured Medical Text Analysis: A Scoping Review. Healthcare 2026;14(13):1865 View

Conference Proceedings

  1. Dildora I, Shokirovich O, Yuldasheva G, Singhal A, Alimardanova R, Abdirahmonov L. 2025 7th International Conference on Information Systems and Computer Networks (ISCON). Democratizing AI Linguistic Technologies for Understanding Diverse Social Voices View