VisionAid GPT: A Multimodal Chest X-Ray Analysis Assistant Integrating Vision Transformers, Report Generation, and Retrieval-Augmented Question Answering

This work presents VisionAid GPT, a multimodal artificial intelligence system for chest X-ray analysis. The framework integrates Vision Transformer-based image classification, automated report generation, retrieval-augmented question answering, and an interactive user interface. The proposed system was evaluated using the Chest X-Ray Pneumonia dataset and achieved competitive classification performance while providing explainable outputs and conversational interaction capabilities. The project demonstrates the feasibility of combining modern transformer architectures with retrieval-augmented generation for healthcare-focused AI assistants.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20713316
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
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article

VisionAid GPT: A Multimodal Chest X-Ray Analysis Assistant Integrating Vision Transformers, Report Generation, and Retrieval-Augmented Question Answering

Emmanuel Ogenahotse Yerimah
Zenodo (CERN European Organization for Nuclear Research)
COVID-19 diagnosis using AI
article

VisionAid GPT: A Multimodal Chest X-Ray Analysis Assistant Integrating Vision Transformers, Report Generation, and Retrieval-Augmented Question Answering

Emmanuel Ogenahotse Yerimah
article en

Abstract

This work presents VisionAid GPT, a multimodal artificial intelligence system for chest X-ray analysis. The framework integrates Vision Transformer-based image classification, automated report generation, retrieval-augmented question answering, and an interactive user interface. The proposed system was evaluated using the Chest X-Ray Pneumonia dataset and achieved competitive classification performance while providing explainable outputs and conversational interaction capabilities. The project demonstrates the feasibility of combining modern transformer architectures with retrieval-augmented generation for healthcare-focused AI assistants.

Zenodo (CERN European Organization for Nuclear Research)
University of Benin (NG)
Openalex Percentile: Top 7%
COVID-19 diagnosis using AI
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