Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67253, first published .
Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database

Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database

Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database

Journals

  1. Sluha A, Hillmann H, Svennberg E, Duncker D. Reliability of large language models for reviewing research with artificial intelligence in cardiac electrophysiology using the European Heart Rhythm Association artificial intelligence checklist. Europace 2025;27(8) View
  2. Başaranoğlu M, Akbay E, Erdem E. From digital assistants to clinical partners: revolutionizing pediatric urology through large language model-powered decision support and patient education. World Journal of Urology 2025;43(1) View
  3. Garcés M, García J, Montoya J, Triana C, Hernández Rincón E. Artificial intelligence-based models for clinical prognosis at the end of life in the ICU. International Journal of Medical Informatics 2026;206:106156 View
  4. Shi T, Ma J, Yu Z, Xu H, Yang R, Xiong M, Xiao M, Li Y, Zhao H, Kong G. Large Language Models in Critical Care Medicine: Scoping Review. JMIR Medical Informatics 2025;13:e76326 View