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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


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

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