MEDX-Vision Smart Diagnosis Through Deep Learning

edx-Vision is an AI-powered mobile application that simplifies chest disease detection by analyzing X-ray images and providing easy-to-understand diagnostic results. Using a Convolutional Neural Network (CNN) trained on the NIH Chest X-ray dataset, the system identifies conditions like pneumonia and cardiomegaly with high accuracy. The backend, built with Flask, preprocesses images and returns predictions with confidence scores, which are formatted into laymanfriendly messages. The Android app, developed using Jetpack Compose, enables users to upload or capture images and view results through a clean, intuitive interface. Designed for accessibility, Medx-Vision bridges the gap between complex medical AI and everyday users, making early diagnosis more available in underserved areas.

Authors

Publication Details

Journal
International Journal of Preventive Medicine and Health
Published
2026-01-29
DOI
https://doi.org/10.54105/ijpmh.e1093.06020126
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
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MEDX-Vision Smart Diagnosis Through Deep Learning

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COVID-19 diagnosis using AI
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MEDX-Vision Smart Diagnosis Through Deep Learning

Devadharshini. Sasikumar, Poobathy. M, Seshan. R, Meygnaanaselva. K, Harish. T
article en

Abstract

edx-Vision is an AI-powered mobile application that simplifies chest disease detection by analyzing X-ray images and providing easy-to-understand diagnostic results. Using a Convolutional Neural Network (CNN) trained on the NIH Chest X-ray dataset, the system identifies conditions like pneumonia and cardiomegaly with high accuracy. The backend, built with Flask, preprocesses images and returns predictions with confidence scores, which are formatted into laymanfriendly messages. The Android app, developed using Jetpack Compose, enables users to upload or capture images and view results through a clean, intuitive interface. Designed for accessibility, Medx-Vision bridges the gap between complex medical AI and everyday users, making early diagnosis more available in underserved areas.

International Journal of Preventive Medicine and HealthVol. 6(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
COVID-19 diagnosis using AI
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