Visionary Health: An AI-Based Real-Time Medical Consultation System Using Image and Text Input

This paper introduces Visionary Health, a dual-mode AI-powered consultation system that provides real-time, preliminary medical assessments using image and text input. Leveraging deep learning and natural language processing (NLP), the system enables users to obtain diagnostic support by uploading images of symptoms or entering a text description. The image-based module utilizes a convolutional neural network (CNN) trained on dermatological data, while the text-based module employs transformer-based models to understand symptom narratives. This flexible approach improves access to healthcare guidance in remote or underserved areas. Evaluation results suggest strong performance across both modules, indicating the system’s promise as a scalable tool for digital health triage.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-29
DOI
https://doi.org/10.22214/ijraset.2025.71656
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Visionary Health: An AI-Based Real-Time Medical Consultation System Using Image and Text Input

Mandeep Singh
International Journal for Research in Applied Science and Engineering Technology
Artificial Intelligence in Healthcare
article

Visionary Health: An AI-Based Real-Time Medical Consultation System Using Image and Text Input

Mandeep Singh
article en

Abstract

This paper introduces Visionary Health, a dual-mode AI-powered consultation system that provides real-time, preliminary medical assessments using image and text input. Leveraging deep learning and natural language processing (NLP), the system enables users to obtain diagnostic support by uploading images of symptoms or entering a text description. The image-based module utilizes a convolutional neural network (CNN) trained on dermatological data, while the text-based module employs transformer-based models to understand symptom narratives. This flexible approach improves access to healthcare guidance in remote or underserved areas. Evaluation results suggest strong performance across both modules, indicating the system’s promise as a scalable tool for digital health triage.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 86%
Artificial Intelligence in Healthcare
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