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Artificial Intelligence (5036) Information Retrieval (504) Natural Language Processing (1339) Generative Language Models Including ChatGPT (1645) AI Language Models in Health Care (837) Applications of AI (1099)

Published on in Vol 28 (2026)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82997, first published .
Doctor using AI patient summary assistant on computer in clinic

Improving Retrieval Augmented Generation for Health Care by Fine-Tuning Clinical Embedding Models: Development and Evaluation Study

Improving Retrieval Augmented Generation for Health Care by Fine-Tuning Clinical Embedding Models: Development and Evaluation Study

Authors of this article:

Kamyar Arzideh1, 2 Author Orcid Image ;   Henning Schäfer1, 3 Author Orcid Image ;   Ahmad Idrissi-Yaghir1, 4 Author Orcid Image ;   Cynthia Sabrina Schmidt1, 3, 5 Author Orcid Image ;   Bahadir Eryilmaz1 Author Orcid Image ;   Mikel Bahn1 Author Orcid Image ;   Amin T Turki1, 6 Author Orcid Image ;   Olivia Barbara Pollok4 Author Orcid Image ;   Eva Maria Hartmann1, 2 Author Orcid Image ;   Philipp Winnekens2 Author Orcid Image ;   Katarzyna Borys1, 4 Author Orcid Image ;   Johannes Haubold1, 4 Author Orcid Image ;   Felix Nensa1, 4 Author Orcid Image ;   René Hosch1, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

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  2. Enayati M, Priya V, Prochaska E, Sobe K, Wolfien M. From Fine-Tuning to Grounding: Retrieval-Augmented Generation for Biomedical LLMs in Research and Clinical Data Infrastructures. Sci 2026;8(9):266 View
  3. Jamil M, Kavak A, Omurca S, Fotouhi H. Design and Evaluation of a Source-Grounded Medical LLM for Clinical Decision Support and Patient Care in Trustworthy Diagnostic Systems. Diagnostics 2026;16(19):3142 View
  4. Ahmed A, Alzein M, Khan H, Ashraf M, Ahmed M, Saeed H. Design and Implementation of an Offline, Plug-and-Play Electronic Medical Record System for a Single-Physician Ophthalmology Practice in Resource-Constrained Settings: A Proof-of-Concept. Applied Sciences 2026;16(19):9817 View

Conference Proceedings

  1. Li C, Liu B. Proceedings of the 2026 2nd International Conference on Health Big Data. TA-RAG: A Time-Aware Retrieval-Augmented Generation Framework for Chronic Disease Management View
  2. Khadija M, Nurharjadmo W, Aziz A, Primasari I, Wicaksono W, Aseka R. 2026 International Electronics Symposium (IES). Retrieval-Augmented Generative Indonesian Question Answering for Campus Planning Documents: A Case Study at Vocational School Universitas Sebelas Maret View