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Progress in application research of artificial intelligence in the field of chronic liver diseases
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Ying-Zi Tang1, Jie Xia1, Hui-Min Liu1, Hua-Jie Lv1, Mao-Yun Guo2, *
Medical Journal of Chinese People’s Liberation Army | 2022, 47(8) : 845 - 850
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Medical Journal of Chinese People’s Liberation Army | 2022, 47(8): 845-850
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Progress in application research of artificial intelligence in the field of chronic liver diseases
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Ying-Zi Tang1, Jie Xia1, Hui-Min Liu1, Hua-Jie Lv1, Mao-Yun Guo2, *
Affiliations
  • 1Department of Infectious Diseases, the First Affiliated Hospital, Army Medical University, Chongqing 400038, China
  • 2School of Automation, Chongqing University, Chongqing 400044, China
Published: 2022-08-28 doi: 10.11855/j.issn.0577-7402.2022.08.0845
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Artificial intelligence has made breakthroughs in medicine in the past decade. Compared with the traditional statistical model, the advantage of artificial intelligence is that it can establish algorithm and prediction model through machine learning to efficiently and effectively identify the patterns in large data sets, and combine a variety of factors to create more accurate prediction model. Therefore, artificial intelligence is particularly suitable for huge and complex or high-dimensional clinical data analysis and predictive modeling tasks. There are many kinds of data formats in the clinical practice of hepatology. Many studies have applied artificial intelligence in the diagnosis and classification of liver diseases, assisting treatment, predicting efficacy and prognosis, and evaluation of liver imaging and pathology. Based on the study outcomes in related fields at home and aboard, this paper summarizes the research progress and application of artificial intelligence in the field of diagnosis and treatment of chronic liver diseases.

artificial intelligence  /  machine learning  /  chronic liver diseases
Ying-Zi Tang, Jie Xia, Hui-Min Liu, Hua-Jie Lv, Mao-Yun Guo. Progress in application research of artificial intelligence in the field of chronic liver diseases[J]. Medical Journal of Chinese People’s Liberation Army, 2022 , 47 (8) : 845 -850 . DOI: 10.11855/j.issn.0577-7402.2022.08.0845
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doi: 10.11855/j.issn.0577-7402.2022.08.0845
  • Receive Date：2021-07-29
  • Online Date：2025-12-15
  • Published：2022-08-28
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  • Received：2021-07-29
  • Accepted：2021-11-01
Affiliations
    1Department of Infectious Diseases, the First Affiliated Hospital, Army Medical University, Chongqing 400038, China
    2School of Automation, Chongqing University, Chongqing 400044, China

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红菇属 Russula 17 8.13
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