MEDX-Vision Smart Diagnosis Through Deep Learning

Read full text
Authors: Devadharshini. Sasikumar, Meygnaanaselva. K, Poobathy. M, Seshan. R, Harish. T
Cited by: 0
References: 3

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.

Fields of Study & Subjects

COVID-19 diagnosis using AI Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare

Publication details

Journal / source
International Journal of Preventive Medicine and Health
Volume
6
Issue
2
Pages
25–29
Publication date
29 January 2026