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Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68776, first published .
Leveraging Large Language Models for Accurate Retrieval of Patient Information From Medical Reports: Systematic Evaluation Study

Leveraging Large Language Models for Accurate Retrieval of Patient Information From Medical Reports: Systematic Evaluation Study

Leveraging Large Language Models for Accurate Retrieval of Patient Information From Medical Reports: Systematic Evaluation Study

Journals

  1. Lin A, Wang Z, Jiang A, Chen L, Qi C, Zhu L, Mou W, Gan W, Zeng D, Xiao M, Chu G, Peng S, Wong H, Zhang L, Zhang H, Deng X, Wang Y, Zhang J, Cheng Q, Tang B, Luo P. Large language models in clinical trials: applications, technical advances, and future directions. BMC Medicine 2025;23(1) View
  2. Coric R, Oloyede E, Cuayáhuitl H. Helpful or Harmful? Re-Evaluating Frugality in Retrieval-Augmented Generation for Medical Question Answering. Machine Learning and Knowledge Extraction 2026;8(3):64 View
  3. Gowramma P, Kumar K, Prema M, Virupakshaiah S, Rahamathulla M, Ghouse M, Ahmed M, Pasha I. AI-powered Chatbot integration for enhanced accessibility of electronic health records in a pediatric hospital. Scientific Reports 2026 View

Conference Proceedings

  1. Suram K, A J H, Kurian A, Augustine K, Majeed A R. 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT). Vision-Language Transformers for Medical Report Synthesis: A Multimodal Approach View