Artificial Intelligence–Assisted Lung Nodule Evaluation on Low-Dose Chest CT in Asymptomatic Individuals: A Prospective Randomized Controlled Trial

American Journal of Roentgenology 2026 Open access

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Authors: Eui Jin Hwang, Taehee Lee, Woo Hyeon Lim, Hongseok Ko, Jiyoung Song, Hyung Jin Kim, Jong Hyuk Lee, Soon Ho Yoon, Ji Young Lee, Jin Mo Goo
DOI: 10.2214/ajr.26.34552
Cited by: 7
References: 4

Abstract

Background: The impact of artificial intelligence (AI) tools for lung nodule evaluation on low-dose CT (LDCT) have been evaluated primarily using experimental retrospective reader designs, outside of clinical practice.

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Lung Cancer Diagnosis and Treatment COVID-19 diagnosis using AI

Publication details

Journal / source
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Volume
227
Issue
1
Pages
e2634552–e2634552
Publication date
18 March 2026
Language
EN