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Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73822, first published .
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Identifying Biomedical Entities for Datasets in Scientific Articles: 4-Step Cache-Augmented Generation Approach Using GPT-4o and PubTator 3.0

Identifying Biomedical Entities for Datasets in Scientific Articles: 4-Step Cache-Augmented Generation Approach Using GPT-4o and PubTator 3.0

Journals

  1. Kaier K, Engel F, Benadi G, Giuliani C, Watter M, Kalantari A, Schuller K, Franzke C, Sperandio M, Binder H. Identification of biomedical entities from multiple repositories using a specialized metadata schema and search-augmented large language models. BMC Research Notes 2026;19(1) View
  2. Watter M, Giuliani C, Benadi G, Engel F, Binder H, Kaier K. Automated identification of contextually relevant biomedical entities with grounded LLMs. Scientific Reports 2026;16(1) View
  3. Engel F, Giuliani C, Watter M, Kalantari A, Schuller K, Binder H, Kaier K. From manual entry to machine precision: challenges and evolution of metadata schema development in collaborative research centers. BMC Research Notes 2026;19(1) View
  4. Guo Y. Intelligent Data Annotation Based on Generative Artificial Intelligence: Techniques, Analysis, and Future Opportunities. Science and Technology of Engineering, Chemistry and Environmental Protection 2026;4(2):15492 View
  5. Watter M, Engel F, Kalantari A, Giuliani C, Schuller K, Franzke C, Sperandio M, Binder H, Kaier K, Mulder N. Accelerating metadata annotation in collaborative research centers: a hybrid AI workflow for biomedical entities. Bioinformatics Advances 2026;6(1) View