A retrieval-augmented generation model for multimodal medical question-answering system

This paper addresses the limitations of existing medical question-answering systems, which are often unimodal and lack retrieval-augmented capabilities or expert-guided learning. To overcome these challenges, a Retrieval-Augmented Generation (RAG) framework was developed to handle multimodal medical...

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Bibliographic Details
Main Authors: Ismail, Amelia Ritahani, Hishamuddin, Farhan Haikal, Ramjee, Aisar Nasrun, Amir Hussin, Amir 'Aatieff, Afiqa, Nurul
Format: Proceeding Paper
Language:en
Published: IEEE 2026
Subjects:
Online Access:http://irep.iium.edu.my/127404/7/127404_A%20retrieval-augmented%20generation%20model.pdf
http://irep.iium.edu.my/127404/
https://ieeexplore.ieee.org/document/11363507
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