# Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence

## TL;DR

This paper presents a smartphone app utilizing artificial neural networks to interpret chest X-rays, aiming to improve early diagnosis of respiratory diseases in remote areas with limited medical resources.

## Contribution

The work introduces new machine learning methodologies optimized for mobile deployment to assist in diagnosing respiratory conditions from X-ray images.

## Key findings

- Successful development of a mobile app for X-ray interpretation
- Enhanced accessibility of diagnostic tools in remote areas
- Potential for early detection of life-threatening respiratory conditions

## Abstract

In this paper we present our work to improve access to diagnosis in remote areas where good quality medical services may be lacking. We develop new Machine Learning methodologies for deployment onto mobile devices to help the early diagnosis of a number of life-threatening conditions using X-ray images. By using the latest developments in fast and portable Artificial Intelligence environments, we develop a smartphone app using an Artificial Neural Network to assist physicians in their diagnostic.