MEDX-Vision Smart Diagnosis Through Deep Learning
Devadharshini. Sasikumar1, Meygnaanaselva. K2, Poobathy. M3, Seshan. R4, Harish. T5
1Devadharshini. Sasikumar, Assistant Professor, Department of Computer Science, Agni College of Technology, Chennai (Tamil Nadu), India.
2Meygnaanaselva. K, Department of Computer Science, Agni College of Technology, Chennai (Tamil Nadu), India.
3Poobathy. M, Assistant Professor, Department of Computer Science, Agni College of Technology, Chennai (Tamil Nadu), India.
4Seshan. R, Department of Computer Science, Agni College of Technology, Chennai (Tamil Nadu), India.
5Harish. T, Department of Computer Science, Agni College of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 06 May 2025 | First Revised Manuscript received on 27 June 2025 | Second Revised Manuscript received on 25 December 2025 | Manuscript Accepted on 15 January 2026 | Manuscript published on 30 January 2026 | PP: 25-29 | Volume-6 Issue-2 January 2026 | Retrieval Number: 100.1/ijpmh.E109305050725 | DOI: 10.54105/ijpmh.E1093.06020126
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Medx-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.
Keywords: Medx-Vision, Artificial Intelligence, Convolutional Neural Network (CNN), Diagnosis.
Scope of the Article: Medicine