VisionAid GPT: A Multimodal Chest X-Ray Analysis Assistant Integrating Vision Transformers, Report Generation, and Retrieval-Augmented Question Answering
Year: 2026
Type: article
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.
Author: Yerimah, Emmanuel Ogenahotse
Institution: University of Benin
Language: English
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W7164904101
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