Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
PMID: 40053787

Abstract

BACKGROUND: Artificial intelligence (AI) presents a promising approach to balancing high image quality with reduced radiation exposure in computed tomography (CT) imaging.

Authors

  • Subo Zhang
    Department of Medical Imaging, The Second People's Hospital of Lianyungang, Lianyungang, China.
  • Zhitao Zhu
    Department of Medical Imaging, The Second People's Hospital of Lianyungang, Lianyungang, China.
  • Zhenfei Yu
    Department of Medical Imaging, The Second People's Hospital of Lianyungang, Lianyungang, China.
  • Haifeng Sun
  • Yi Sun
    Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
  • Hai Huang
    Institute of Systems Genetics, Department of Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610000, China.
  • Lei Xu
    Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
  • Jinxin Wan
    Department of Medical Imaging, The Second People's Hospital of Lianyungang, Lianyungang, China.

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