This paper is in the following e-collection/theme issue:

New Methods (1017) Clinical Information and Decision Making (1600) Decision Support for Health Professionals (1321) Imaging Informatics (223) Artificial Intelligence (1660) Medical imaging (52) Lung Cancer (45) Applications of AI (158)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64649, first published .
Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis

Authors of this article:

Weiqi Liu1, 2 Author Orcid Image ;   You Wu3 Author Orcid Image ;   Zhuozhao Zheng4 Author Orcid Image ;   Mark Bittle1 Author Orcid Image ;   Wei Yu5 Author Orcid Image ;   Hadi Kharrazi1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Weiqi Liu   1, 2 , DrPH ;   You Wu   3 , PhD ;   Zhuozhao Zheng   4 , PhD ;   Mark Bittle   1 , DrPH ;   Wei Yu   5 , PhD ;   Hadi Kharrazi   1 , MD, PhD

1 Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

2 Department of Research, Sophmind Technology (Beijing) Co Ltd, Beijing, China

3 Institute for Hospital Management, School of Medicine, Tsinghua University, Beijing, China

4 Department of Radiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China

5 Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China

Corresponding Author:

  • Wei Yu, PhD
  • Department of Radiology
  • Beijing Anzhen Hospital
  • Capital Medical University
  • 2 Anzhen Road, Chaoyang District
  • Beijing, 100029
  • China
  • Phone: 86 10-84005287
  • Email: nxyw1969@163.com