Effectiveness of Ultra-low-dose Chest CT With AI Based Denoising Solution

Status Not yet recruiting

Clinical Trial Summary

The main objective of the study is to evaluate the detection rate of pulmonary conditions, percentage of ionizing radiation dose reduction, and state of image quality of ULDCT coupling with innovative vendor-neutral CT denoising solution based on deep learning technology.

Clinical Trial Description

Considering lung cancer-related public health challenges, a reliable lung cancer screening method for high-risk cohorts in Mongolia is needed. Thus, our study aims to assess the detection rate of pulmonary conditions, percentage of ionizing radiation dose reduction, and state of image quality of ULDCT coupling with artificial intelligence based CT denoising technique among various patient groups. ;

Study Design

Related Conditions & MeSH terms

Lung Diseases

Clinical Trial Details

NCT number	NCT05398887
Study type	Interventional
Source	Intermed Hospital
Contact	Bayarbaatar Bold, M.D
Phone	976-99063486
Email	bayarbaatar99@gmail.com
Status	Not yet recruiting
Phase	N/A
Start date	June 15, 2022
Completion date	October 1, 2022

View Details

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