The application of deep learning-based artificial intelligence algorithms combined with low-dose scanning protocols in chest CT.

ABSTRACT:

Background

Under low-dose scanning conditions, different reconstruction algorithms have varying effects on image quality. This study aimed to investigate the effects of the precise imaging (PI) deep-learning artificial intelligence (AI) algorithm combined with a low-dose scanning protocol on image quality and radiation dose in chest computed tomography (CT) scans.

Methods

A retrospective analysis was conducted of 100 patients who underwent non-contrast chest CT scans at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, using Philips Incisive CT between October and December 31, 2024. The patients were divided into two groups: the experimental group (n=50) and the control group (n=50). The experimental group was scanned using a low-dose pro

SUBMITTER: Liu XJ 

PROVIDER: S-EPMC12514655 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature