Classifying abnormalities in chest radiographs from Vietnam using deep learning for early detection of cardiopulmonary diseases.

ABSTRACT:

Introduction

Vietnam still faces a high burden of infectious diseases compared with developed countries, and improving its health and sanitation environment is essential for addressing both infectious and non-communicable diseases. Chest radiography is key for early detection of cardiopulmonary diseases. Artificial Intelligence (AI) research on detecting cardiopulmonary diseases from chest radiographs has advanced; however, no AI development studies have used Vietnamese data, despite its high burden of both disease types, for early detection. Therefore, we aimed to develop an AI model to classify normal and abnormal images using a Vietnamese chest radiograph dataset.

Methods

We retrospectively analyzed 12,827 normal and 4,644 abnormal cases from two Vietnamese institutions.

SUBMITTER: Kai C 

PROVIDER: S-EPMC12675158 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature