Application of Mengchao Liver Disease-Brain System version 2.0 in artificial intelligence-assisted clinical diagnosis and treatment： A preliminary study

Haitao LI; Hongzhi LIU; Gouxu FANG; Pengfei GUO; Zhenwei CHEN; Jingfeng LIU

doi:10.3969/j.issn.1001-5256.2023.12.022

Volume 39 Issue 12

Dec. 2023

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Article Navigation > Journal of Clinical Hepatology > 2023 > 39(12): 2901-2907

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Application of Mengchao Liver Disease-Brain System version 2.0 in artificial intelligence-assisted clinical diagnosis and treatment： A preliminary study

DOI: 10.3969/j.issn.1001-5256.2023.12.022

Haitao LI^{1a, 1b},
Hongzhi LIU^1b,
Gouxu FANG^1a,
Pengfei GUO^1a,
Zhenwei CHEN^1a,
Jingfeng LIU^{1a, 3
,
,
,}

1a.
Southeast Big Data Institute of Hepatobiliary Health，Mengchao Hepatobiliary Hospital of Fujian Medical University，Fuzhou 350025，China
1b.
Department of Hepatopancreatobiliary Surgery，Mengchao Hepatobiliary Hospital of Fujian Medical University，Fuzhou 350025，China
2.
Fujian Provincial Tumor Hospital，Fuzhou 350025，China

Research funding:

Science and Technology Innovation Platform Project of Fuzhou Science and Technology Bureau (2021-P-055)

More Information

Corresponding author: LIU Jingfeng， drjingfeng@126.com （ORCID： 0000-0003-3499-5678）
Received Date: 2023-03-12
Accepted Date: 2023-04-21
Published Date: 2023-12-12

Abstract

Abstract

Objective To investigate the application of Mengchao Liver Disease-Brain System version 2.0 in clinical diagnosis and treatment. Methods This study was conducted among 160 patients who were admitted to the internal medicine and surgical departments from June 9 to 21， 2021， and their data were automatically captured by the intelligent information system of Southeast Big Data Institute of Hepatobiliary Health， Mengchao Hepatobiliary Hospital of Fujian Medical University. The completeness and accuracy of Mengchao Liver Disease-Brain System version 2.0 were evaluated based on the intelligent diagnostic tools such as auxiliary diagnosis of chronic hepatitis B， interpretation of liver fibrosis， staging model of chronic hepatitis B， auxiliary diagnosis of liver cirrhosis， auxiliary staining of liver cirrhosis， auxiliary diagnosis of primary liver cancer， BCLC stage of primary liver cancer， Chinese staging of primary liver cancer， Child-Pugh score， and APRI score. Results All auxiliary diagnostic tools had a complete rate of 94.17% in terms of the extraction of correct key dimensions within the test period. The artificial intelligence report had a structured accuracy of 97.55% in capturing data and an accuracy rate of 91.61% in text processing. Conclusion Mengchao Liver Disease-Brain System version 2.0 provides an innovative mode for the construction of big data platform in medical specialties and has a high accuracy as an auxiliary diagnostic tool in clinical diagnosis and treatment.
- Artificial Intelligence,
- Brain of Mengchao Liver Disease,
- Decision Support Systems， Clinical

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References

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Application of Mengchao Liver Disease-Brain System version 2.0 in artificial intelligence-assisted clinical diagnosis and treatment： A preliminary study

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Application of Mengchao Liver Disease-Brain System version 2.0 in artificial intelligence-assisted clinical diagnosis and treatment： A preliminary study

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