Design of an Intelligent Image Archiving System for Medical Institutions Based on Large Language Models

Corresponding author: Huiting, 17766665789@189.cn

DOI: 10.12201/bmr.202602.00047

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  Abstract: Objective/Significance With the rapid growth of medical imaging data, traditional archiving systems can no longer meet the demands of efficient management and intelligent applications. This paper proposes an intelligent medical imaging archiving system for healthcare institutions based on a multimodal large language model, which achieves unified structured processing and semantic retrieval of medical images and textual reports through multimodal technology.

  Key words: Large language models; Medical image archiving; Multimodal; Image feature extraction; Image Retrieval

  Submit time: 11 February 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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• ID	Submit time	Number	Download
  1	2025-10-08	10.12201/bmr.202602.00047V1	Download

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