Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis
BackgroundUncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identify...
Saved in:
Main Authors: | Weiqi Liu, You Wu, Zhuozhao Zheng, Mark Bittle, Wei Yu, Hadi Kharrazi |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2025-01-01
|
Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2025/1/e64649 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Current Practice in the Management of Pulmonary Nodules Detected on Computed Tomography Chest Scans
by: Clarus Leung, et al.
Published: (2019-01-01) -
Development of a 3D-Printed Chest Phantom with Simulation of Lung Nodules for Studying Ultra-Low-Dose Computed Tomography Protocols
by: Jenna Silberstein, et al.
Published: (2024-12-01) -
Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans
by: Ayman El-Baz, et al.
Published: (2013-01-01) -
Artificial intelligence for chest X-ray image enhancement
by: Liming Song, et al.
Published: (2025-02-01) -
Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment
by: James K Min, et al.
Published: (2025-01-01)