Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

2019429 citationsJournal Articlegold Open Access

Authors

Eui Jin Hwang · Seoul National University

Sunggyun Park

Kwang-Nam Jin · SNUH SMG-SNU Boramae Medical Center

Jung Im Kim · Kyung Hee University Hospital at Gangdong

So Young Choi · Eulji University

Jong Hyuk Lee · Seoul National University

Jin Mo Goo · Seoul National University

Abstract

The algorithm consistently outperformed physicians, including thoracic radiologists, in the discrimination of chest radiographs with major thoracic diseases, demonstrating its potential to improve the quality and efficiency of clinical practice.

Topics & Keywords

COVID-19 diagnosis using AI Lung Cancer Diagnosis and Treatment Radiology practices and education

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: JAMA Network Open

Volume 2, Issue 3, pp. e191095-e191095

DOI: 10.1001/jamanetworkopen.2019.1095

Field-Weighted Citation Impact: 37.23