Min Li

ORCID: 0000-0002-3932-2969
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About
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Research Areas
  • Advanced X-ray and CT Imaging
  • COVID-19 Clinical Research Studies
  • Advanced MRI Techniques and Applications
  • Sepsis Diagnosis and Treatment
  • COVID-19 diagnosis using AI
  • Cardiac Imaging and Diagnostics

Hebei Medical University
2025

Fourth Hospital of Hebei Medical University
2025

This study aimed to evaluate the feasibility and accuracy of non-electrocardiogram (ECG)-triggered chest low-dose computed tomography (LDCT) with a kV-independent reconstruction algorithm in assessing coronary artery calcification (CAC) degree cardiovascular disease risk patients receiving maintenance hemodialysis (MHD). In total, 181 MHD who needed CT calcium score (CACS) scannings sequentially underwent non-ECG-triggered, automated tube voltage selection, high-pitch LDCT ECG-triggered...

10.1186/s12872-025-04499-w article EN cc-by-nc-nd BMC Cardiovascular Disorders 2025-01-24

Objectives This study aimed to predict severe coronavirus disease 2019 (COVID-19) progression in patients with increased pneumonia lesions the early days. A simplified nomogram was developed utilizing artificial intelligence (AI)-based quantified computed tomography (CT). Methods From 17 December 20 February 2020, a total of 246 were confirmed COVID-19 infected Jingzhou Central Hospital, Hubei Province, China. Of these patients, 93 mildly ill and had follow-up examinations 7 days, 61 them...

10.3389/fmed.2024.1343661 article EN cc-by Frontiers in Medicine 2024-04-26
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